artificial intelligence

7 Topics

Elevating Cyber Resilience: How GenAI is Revolutionizing Crisis Simulations
Cyber threats have become a pervasive force within the business world, elevating the need for regular cyber resilience exercises into an organization-wide imperative. Genuine resilience is about more than prevention. It’s the agility to identify, respond to, and recover seamlessly from disruptions, ensuring uninterrupted business operations. This approach, which acknowledges the inevitability of a cyber event, is the hallmark of truly resilient organizations. Crisis simulations and cyber exercises are core to cultivating this resilience. Traditional cyber exercises, often static and presentation-driven, tend to serve as theoretical validations. While valuable for reviewing playbooks and pinpointing theoretical vulnerabilities, they frequently fall short of genuinely testing incident response and crisis handling capabilities, particularly in the dynamic, high-pressure environment of a real-world attack. The sheer velocity of modern cyber threats, frequently powered by sophisticated AI, demands a new level of precision and relevance in simulations. This is where Generative AI (GenAI) comes in. It can transform how we design and execute tabletop-style cyber crisis simulations, making them profoundly relevant and impactful. The challenge of an unpredictable threat landscape While traditional crisis simulations are beneficial, they have certain limitations. The first is that it’s difficult and time-consuming to create realistic scenarios that reflect the latest threat actor tactics, techniques, and procedures (TTPs), and are meticulously tailored to an organization's unique infrastructure and risk profile. Analysts will also dedicate extensive hours to research, developing intricate narratives and manually injecting variables to ensure a robust challenge. However, this can sometimes result in a predictable exercise that doesn't fully prepare teams for the inherent chaos and unpredictability of a real-world incident. The human element in cyber resilience is also key. As Oliver Newbury, a member of Immersive's board of directors, recently emphasized: "Security is about people, process, and technology. I would have expected as much focus on upskilling people as on implementing new tools. It's the people using those tools who ultimately prevent breaches." Static simulations often fail to truly engage and challenge human teams, limiting their ability to build crucial muscle memory for swift decision-making under pressure. Elevating your crisis simulations with GenAI So, how does GenAI fit into the picture? This powerful technology can create novel content based on patterns learned from vast datasets. In doing so, it offers an unprecedented opportunity to inject realism and adaptability into crisis simulations. Just imagine the possibilities: Hyper-realistic scenario generation: GenAI can analyze current threat intelligence, recent attack patterns, and insights into your organization's specific weak spots to generate realistic and precisely tailored crisis scenarios. This ensures each exercise directly reflects the most pertinent and dangerous threats, making the experience far more impactful for your teams. Optimized playbook stress testing: GenAI doesn't just ease the exercise creation process – it can analyze your existing playbooks and processes. It can then generate crisis scenarios specifically designed to stress-test your response plans, ensuring they’re robust and effective under pressure. This helps validate that your playbooks and processes are truly ready for action. Realistic communications and media drills: In addition to the technical aspects, GenAI can simulate realistic internal and external communications during a crisis. It can generate mock press releases, social media posts, and even stakeholder questions, exercising your communications team's ability to manage public perception and share accurate information under pressure. This is critical for protecting your brand reputation during a breach. Instant feedback and analysis: After an exercise, GenAI can quickly crunch the data generated during the simulation, giving you detailed insights into team performance, response times, decision accuracy, and where you can improve. This speeds up the feedback loop, helping you tweak and strengthen your resilience strategies much faster. Tailored learning journeys: After an exercise, GenAI can analyze how an individual or team performed, then recommend follow-up scenarios or activities to address weaknesses or enhance key skills. This allows for truly personalized and continuously improving readiness programs. Think about the recent explosion of sophisticated, AI-driven attacks, from deepfake scams to highly targeted ransomware. Organizations have to be ready for these advanced threats, and old methods alone might not cut it. GenAI lets us simulate these next-gen attacks with a level of detail we couldn't even dream of before. This ensures teams aren’t just prepared for what's already happened – they’re ready for what's coming. Empowering your people It’s important to remember that GenAI is here to improve human expertise, not replace it. Just as information recall differs from true knowledge, GenAI is augmenting the critical "knowledge work" in cybersecurity, rather than replacing it. Our real value isn’t just in what we know, but how we apply, interpret, and synthesize that knowledge to drive meaningful outcomes. Our job is to use tools like GenAI to empower our organizations and teams and provide them with realistic and effective exercise environments. GenAI offloads the rote, time-consuming tasks of content creation and data sifting, freeing us up to focus on high-value actions such as analyzing results, mentoring teams, and fine-tuning strategic responses. This pushes us towards the "wisdom work" that truly defines expertise in cyber resilience. Building a culture of constant improvement The ultimate goal of bringing GenAI into crisis simulations is to build a culture of constant improvement, where cyber readiness isn’t just a checklist item, but a deep-seated organizational habit. By immersing our teams in hyper-relevant, dynamic, and challenging scenarios, we build the confidence, skills, and muscle memory they need to ride out the inevitable cyber storms with resilience and agility. How are you using GenAI to improve your cyber resilience? Share your thoughts and experiences in the comments below!
JamieKnobles
4 days ago Place The Human Connection Blog
7Views
0likes
0Comments
Your Guide to Effective AI Prompting
Why Prompting Matters for Crisis Simulations Think of AI as a highly intelligent, but literal, assistant. The quality of its output directly reflects the clarity and specificity of your instructions. For crisis simulations, this means: Relevance: Tailored scenarios that mirror your organization's unique risks, industry, and operational environment. Realism: Scenarios that feel authentic, with credible triggers, evolving complications, and realistic stakeholder reactions. Depth: Multi-layered scenarios that challenge your team's decision-making, communication, and collaboration skills. Actionability: Scenarios that provide clear learning objectives and reveal actionable insights for improving your crisis response plan. Core Principles of Effective Prompting Be Specific, Not Vague Bad Prompt "Generate a crisis." (Too generic, will give you a basic, unhelpful scenario.) Good Prompt "Generate a cybersecurity crisis scenario for a mid-sized e-commerce fashion retailer. The trigger is a ransomware attack that encrypts customer databases and disrupts order fulfillment." Why it works It defines the what (cybersecurity crisis, ransomware), the who (e-commerce fashion retailer, mid-sized), and the impact (encrypted databases, disrupted orders). Define your organisation and context using our drop down fields, and then add additional context. Industry (e.g., healthcare, finance, manufacturing, tech, retail) Threat (e.g., data breach, natural disaster, product recall, public relations nightmare, supply chain disruption, insider threat, workplace violence, financial fraud) Attack vector (e.g., phishing attack, severe weather event, manufacturing defect, viral social media post, disgruntled employee action, sudden market downturn) The more information the AI has about your specific context, the more tailored the scenario will be so consider adding further information such as: Company Size: (e.g., small startup, multinational corporation) Key Products/Services: (e.g., cloud-based software, physical goods, financial advisory) Target Audience: (e.g., B2B clients, general consumers, specific demographics) Geographic Scope: (e.g., local, national, global operations) Relevant Regulations/Compliance: (e.g., GDPR, HIPAA, industry-specific standards) Current Trends/Challenges: (e.g., supply chain issues, inflation, new technologies) Example: "Our company, 'Global Pharma Solutions,' is a multinational pharmaceutical company with a focus on novel drug development. We operate globally and are heavily regulated by the FDA and EMA. Generate a scenario reflecting a crisis involving a mislabeled drug batch, discovered shortly after market release in Europe and the US." Outline Key Stakeholders and Their Potential Reactions Realistic scenarios involve diverse stakeholders with varying interests and reactions. Internal: Employees, leadership, legal, HR, IT, communications, specific department teams. External: Customers, media, regulators, investors, suppliers, partners, general public, affected individuals. Desired Reaction: How should these stakeholders react? (e.g., panic, confusion, outrage, demanding answers, seeking legal action, offering support). Example: "Include reactions from panicked customers flooding social media, calls from concerned regulators, and an internal IT team struggling to diagnose the issue. Also, factor in a potential negative news story breaking on a major industry publication." Inject Complications and Escalation Crises rarely remain static. Build in elements that make the scenario evolve and become more challenging. Secondary Events: (e.g., power outage during a cyberattack, additional product defects discovered, key personnel unavailable) Information Gaps/Misinformation: (e.g., conflicting reports, rumors spreading on social media, difficulty in verifying facts) Ethical Dilemmas: (e.g., balancing transparency with legal implications, prioritizing different stakeholder needs) Time Constraints: (e.g., a critical decision needed within 30 minutes, public statement required by end of day) Example: "After the initial system outage, introduce a new complication: a cyber-espionage group claims responsibility on a dark web forum, threatening to release sensitive customer data if demands are not met, despite the initial incident being unrelated to a breach." Define the Learning Objectives (Optional, but Recommended) While the AI won't "know" your objectives, including them in your prompt can subtly guide its generation towards a scenario that helps you test specific aspects of your plan. Example: "The scenario should test our team's ability to communicate effectively under pressure," or "Focus on evaluating our supply chain resilience and alternative vendor protocols." By following these guidelines, you'll be well on your way to leveraging our AI crisis simulation feature to its fullest, preparing your team for any challenge the real world might throw at them. Happy simulating!
TillyCorless
12 days ago Place The Human Connection Blog
44Views
1like
0Comments
From XSS and SQLi to AI-generated code and supply-chain compromise: How application security is evolving
Keeping up with vulnerabilities is like playing a never-ending game of whack-a-mole. One day, we were knee-deep in XSS payloads and buffer overflows; the next, developers everywhere were plugging SQL injection holes with duct tape and regex. A lot of our earlier tech wasn’t built with security in mind – or at least not at the forefront of our minds. But over the past two decades, the culture has changed, and developers are shifting left. Programming languages, as well as the frameworks and ecosystems around them, are evolving and adapting to evade security threats. XSS: From everyday headache to “mostly handled” Remember when cross-site scripting (XSS) was every web developer’s nightmare? In the 2000s, it seemed like every other website was vulnerable. If you were lucky, your users’ only punishment was an annoying pop-up. If not, credentials and session cookies were up for grabs. Modern languages and frameworks took proactive steps in their designs. Today, many of them have built-in protections against common vulnerabilities like XSS. Some examples are: React, Angular, Vue: Automatically escape output by default. You have to go out of your way to render raw HTML (and they make you feel guilty about it). Django, Ruby on Rails, ASP.NET Core: Templates escape user input by default. Browsers: Even they pitch in, with features like Content Security Policy (CSP). It’s still possible to write a vulnerable application, but the bar is higher. As a result, attackers have a bigger hurdle to jump over. This is thanks to the evolution of how languages and frameworks approach security – not as a feature, but as the default. SQL injection: OR 1=1 is mostly history SQL injection once powered major data breaches. Now, parameterized queries have become the norm, and we’re on our way to leaving those days behind. Object-Relational Mappers (ORMs) like SQLAlchemy, Entity Framework, and Hibernate generate safe SQL. Most modern languages make string concatenation in queries unnecessary (and uncool). Even PHP, once infamous for its “raw SQL everywhere” approach, now encourages prepared statements and offers safe database APIs. Not a perfect world, but much improved. It’s crucial to keep in mind, however, that technology shouldn’t be relied upon uncritically to keep applications secure. Developers must do their due diligence. Memory mischief: The rise of Rust (and memory-managed languages) C and C++ are legendary for performance. And legendary for buffer overflows, use-after-free, and all manner of memory mischief. Enter memory-safe languages: Java, C#, Python: Garbage collection and managed memory eliminate entire classes of bugs. Rust: Takes it up a notch with ownership semantics, preventing data races and dangling pointers at compile time. A lot of system-level work has migrated to these “safer” languages, and the impact is apparent in everything from embedded devices to operating systems (hello, Rust in the Linux kernel). The new frontiers: AI and supply chain attacks Just as one threat starts to become old news, new threats emerge. Two of these are: Supply chain compromise The SolarWinds breach and NPM “event-stream” incident have put supply chain attacks in the spotlight over the last decade. It goes to highlight that you can write perfect code and still get breached because a dependency many levels deep was compromised. Some of the changes we’re seeing as a result: Package registries are adopting MFA and signing requirements. Software Bill of Materials (SBOM) is becoming a must-have, especially in regulated industries. But the battle is ongoing. If anything, our code is more interconnected than ever, and the rise of “vibe coding” is complicating matters further. AI-generated code AI tools like GitHub Copilot and ChatGPT are generating millions of code snippets. This is a double-edged sword. You get increased productivity, but the code is often vulnerable. This is partly a reflection of the insecurities in the code that the models were trained on. I asked ChatGPT 4.5 to identify the vulnerability in the following code and it couldn't. Can you? Leave a reply with your thoughts! @limits(calls=6, period=60) @app.route("/change-password", methods=["POST"]) def change_password(): user = session.get("user") if not user: return jsonify({"message": "Unauthorised"}), 401 data = request.get_json() password = data.get("new_password") if not password: return jsonify({"message": "Password is required"}), 400 if not db.change_password(user, password): return jsonify({"message": "Failed to change password"}), 500 return jsonify({"message": "Password changed successfully"}), 200 @limits(calls=6, period=60) @app.route("/login", methods=["GET", "POST"]) def login(): data = request.get_json() user = data.get("user") password = data.get("password") if not user or not password: return jsonify({"message": "Username and password are required"}), 400 if not db.authenticate(user, password): return jsonify({"message": "Invalid username or password"}), 401 session["user"] = user return jsonify({"message": "Logged in successfully"}), 200 The changes I expect to see going forward are: Guidelines and governance for AI-generated code: Programming languages or coding standards may soon explicitly include guidelines, validation rules, or security frameworks tailored to AI-assisted coding, ensuring generated code adheres to secure patterns. Work is already being done to create rules files for improved security. Integrated security checks at the IDE level: IDEs may embed deeper vulnerability scanning and real-time feedback directly within coding processes. Development environments or compilers may also come integrated with validation tools specifically attuned to potential weaknesses inherent in AI-generated code. Increased reliance on static/dynamic security analysis tools: Enhanced automated scanning integrated into CI/CD pipelines, detecting flaws pre-deployment. Keeping people in the loop: Security awareness should be a top priority, so everyone is ready for the worst-case scenario. Proving and improving skills: Developers’ training should increasingly emphasize secure coding, particularly when assisted by AI tools. At the current stage, thorough PR reviews are more crucial than ever. As with any code, always review and test AI-generated code, especially for security-sensitive logic. AI is a tool, not an auditor. Security: Not a feature, but a default Application security has come a long way from the Wild West days of the early internet. The biggest shift in the software development landscape is that security is no longer a bolt-on. Modern programming languages and ecosystems try to make the secure path the easy path. Defaults are safe (escaped output, parameterized queries), dangerous operations are noisy (compiler warnings, explicit function names), and security updates are automated (thanks to package managers and CI/CD integrations). Of course, attackers are creative, and the landscape is always shifting. But the evolution of programming languages, as well as the surrounding tools and communities, means developers have a fighting chance. While we face newer threats like AI-generated code vulnerabilities and supply chain compromise, the foundations are getting stronger. The key is to keep learning, stay skeptical, and use the tools at your disposal properly. The biggest shift I would like to see is the human element no longer being viewed as the “weakest link”. The moles never stop popping up, but now, at least, we have better mallets – and the resources to help us use them.
SabrinaKayaci
2 months ago Place The Human Connection Blog
74Views
2likes
0Comments
Deepfake Defense: Building a Cyber-Ready Workforce in the Age of GenAI
This event has now ended. Watch the recording here. GenAI is reshaping cybersecurity—enhancing defenses while also introducing new risks. Deepfakes, GenAI-generated malware, and vulnerabilities introduced through GenAI coding tools demand a strategic shift to stay ahead of evolving threats. Join industry experts Jamie Knobles and John Blythe as they examine real-world GenAI-driven attacks and share actionable insights to strengthen cyber resilience. This webinar will provide cyber leaders with: A deep-dive into deepfake tactics and other GenAI-related threats. Strategies to increase cyber resilience across the entire workforce. Recommendations for proving cyber capabilities. Register today to gain the knowledge and strategies you need to proactively address the GenAI challenge, minimizing risk and maximizing the potential of this transformative technology.
KieranRowley
4 months ago Place Community Events
140Views
2likes
0Comments
Breaking Down Walls to Make Way for AI
The rapid rise in the popularity and application of AI has been unprecedented. We are actively experiencing the dawn of a revolutionary chapter in technology and innovation, but it also feels a little like this, don't you think? AI is everywhere. Even where you didn’t ask for it, or frankly may not want it. Its rise brings security risks that require comprehensive, strategic management. Are you training your teams on AI security risks? Are you reviewing procedures to protect your business as the threat surface expands? You’re not alone. Let’s get into how we’re guiding customers through these challenges. Immersive can provide knowledge, skills building, and engaging challenges for your teams to address risks from different angles. Artificial intelligence foundations To protect an organization, you need to know what you’re protecting from. These are some of our core recommendations: AI for Business Gain an understanding of various risks associated with implementing and integrating AI in a business context. These risks include understanding the challenges of implementation, potential issues in day-to-day AI utilization, and the broader implications of AI on operations. These labs will equip individuals with the knowledge to effectively leverage AI, while being mindful of these risks. AI Fundamentals Learn about emerging threats, generative AI models, and prompt injection attacks. Gain a comprehensive understanding of AI's implications in cybersecurity, AI-related security risks, and gain practical experience mitigating those risks. Build knowledge around internal risks AI often enters businesses through productivity tools or internal chatbots, like ChatGPT, for HR or finance queries. Using internal AI apps creates risks around data access, data handling, privilege management, improper use of LLM, and compliance considerations (or consequences). Some of these considerations are also relevant for external risks with AI. Here are some collections to get your team’s gears turning around AI-adjacent considerations and internal risk: Cloud Security Identity and Access Management Secrets and Encryption in AWS NIST – Guidelines on Security and Privacy in Public Cloud Computing (800-144) Risk and Compliance ISO 22381 – Security and Resilience for Identification Systems ISO 27014 – Governance of Information Security ISO 27018 – Protecting Private Data in Public Clouds ISO 28000 – Security Management Systems for Supply Chains ISO 31000 – Risk Management Let’s not forget – with new tools comes new access and alerting patterns. You’ll need to ensure your Digital Forensics and Incident Response (DFIR) teams are ready for new signal analysis and identifying corresponding indicators of compromise (IoCs) with new technologies. Digital Forensics Introduction to Digital Forensics Digital Forensics Threat Hunting – Theory Threat Hunting Introduction to Incident Response and Forensics in AWS Upskill to protect your business from external risk As customer-facing AI expands, so does your threat surface. The risks remain rooted in attacks humans conduct today; they’re just becoming more sophisticated with AI. If threat actors use AI maliciously against your business, you might see advanced social engineering attacks. This could include sophisticated phishing attacks or AI-generated voice, image, or video to manipulate users into disclosing credentials. Here are a few hands-on content recommendations that will keep your team response ready: Events and Breaches Gain familiarity with some of the biggest cyber events and most infamous data breaches in hacking history. Buckle up for interactive labs that will get you thinking about real-world events and how AI could affect these types of scenarios. Events and Breaches: Data Exposure Events and Breaches: Phishing Fraud Events and Breaches: Data Leaks Emerging Threats Attackers are quick to adopt new tools and tactics, giving them a first-mover advantage. Labs in this collection will get you hands-on with the latest methods used by threat actors around the globe. These labs aren’t explicitly focused on AI threats, but since AI threats are rooted in legacy techniques, this collection will help your team prepare for the variations AI may introduce. There are also increased risks with publicly facing AI tools that are integrated into internal databases or systems. These non-human identities have access to potentially sensitive databases, making them inherently open to prompt injection attacks in addition to legacy techniques. Here are some of our content recommendations to prepare your teams explicitly for these types of AI challenges: Fundamental AI Algorithms Gain a deep understanding of various AI algorithms and their practical applications in cybersecurity. Engage with labs on machine learning, deep learning, specific algorithms, and complete tasks such as implementing algorithms and analyzing results. Practitioners will gain hands-on experience in applying AI techniques to enhance cybersecurity measures and mitigate cyber threats. AI Challenges Test your knowledge and skills around AI security risks such as AI plugin injections, function calling, and prompt injection attacks. Complete hands-on exercises to find vulnerabilities in AI systems, beat the bot, and actively exploit vulnerable LLM implementations. Staying ahead in a rapidly evolving tech landscape requires continuous learning and skill-building. But readiness doesn’t just stop there. You must also be well-practiced in handling new and challenging situations. Regular exercises, like prompt injection attack detection and AI-driven social engineering tabletop drills, are essential for keeping your teams prepared. As threats evolve, Immersive will continue to deliver integrated labs and industry-leading exercising capabilities so your teams are ready to protect your business. Share your thoughts What skills are critical for your team to mitigate AI risks? Did you beat our AI Challenges? Are you hungry for another byte 👾? Comment below! Stay ready in the face of increased risks – bot or not. Get updates in your inbox on posts like this by following the Human Connection Blog!
EllaBendrickChartier
5 months ago Place The Human Connection Blog
81Views
1like
0Comments
Mastering Crisis Sim: How We Got 25 Execs on the Edge of Their Seats
Let's start with the requirements. In this case, they were clear: 1) To have a fully customised exercise focusing on payment risks and cyber threats like fraud, ransomware, and cash-outs. This is the domain expertise of Mastercard, who had no issues creating this in the Immersive platform with our review and guidance. 2) To deliver this on-site in front of 25 senior execs (including the CEO, CTO, CISO, CFO, and numerous heads of departments). It’s definitely not easy getting this many board members together in one room, so we had to make the first best impression! What did we do, and why was it a success? The stakeholders told us that they’d run tabletop exercises before, so this wasn’t new to them. So, how did we turn what they expected to be a routine drill into an edge-of-the-seat experience? What made our approach unique? Realistic AI-generated videos The amazing Crisis Sim content creation team at Immersive Labs used generative AI to create highly realistic videos that felt as though they were straight from a Pakistani news channel. Mastercard provided us with a few scripts and ideas that helped bring the AI videos to life. AI video of a news reporter tailored to resemble the Pakistani news channel. AI video of a news reporter tailored to resemble the Pakistani news channel. Why did the execs jump out of their seats? That’s because we included the following in the videos: Footage of their building on the news and customer dissatisfaction over cyberattack repercussions. News reporters with local accents and dress styles mentioning the bank and stakeholders, and unhappy Tweets flooding social media. A video of their CEO, not his real face of course, but we used his name when it came to an inject where the stakeholders voted for ‘releasing a press statement to the public’. They even specifically asked us to ensure none of these videos leaked! But each video included the message “Exercise use only – not based on real events”. AI video of the CEO giving a press conference. Collaboration This success was a team effort. Getting any presentation done right, especially in person, requires planning and knowing your audience. This is where Mastercard brought their expertise to create and tailor the Crisis Sim exercise while we supported with our guidance and previous customer experience knowledge. Our roles, tasks, and responsibilities were clear. Top tip: If you’re planning an exercise, collaborate with others for ideas and support. Double act presentation Presenting as a team made all the difference. Mastercard’s expertise in engaging senior execs helped animate the session and avoid awkward silences, while I focused on facilitating the exercise. Doing this alone can be tricky – I’ve personally struggled with awkward silences during solo Crisis Sim sessions while juggling scenario questions, multiple responses, feedback, and facilitation all at once. Sharing the load was crucial, especially in a U-shaped room where I couldn’t easily move around. In this case, I didn’t need to worry about moving away from my laptop, leaving the close-up engagement completely for Mastercard to lead on. Image example of the U-shaped conference room this took place in. The feedback The feedback was overwhelmingly positive – they said it was their first experience with such a tabletop exercise, a stark contrast to their initial expectations. The AI videos sparked significant interest and curiosity. The collaboration between Mastercard and Immersive Labs successfully delivered an educational, engaging, and tailored exercise. The bank expressed interest in running a wider crisis drill in 2025 with multiple banks. So look forward to hearing about that in the future! Finding AI video scenarios in our Crisis Sim Catalogue If you clicked on any of the AI images above thinking it was a video, I’d like to apologise. They were just screenshots as the actual videos included sensitive, bank-specific details like names and locations that we can’t share externally. If you’d like to explore AI video scenarios in our Crisis Sim platform, check out titles like: Boardroom Betrayal: When Deepfakes Strike the Top Puppetmaster’s Revenge The Walls Have Ears – Part One The Walls Have Ears – Part Two
SalimRamjean
8 months ago Place The Human Connection Blog
183Views
2likes
1Comment
Feature Focus: Introducing the AI Scenario Generator
In this blog, we’ll cover what this feature is and how you can use it. For this release, we’ve made creation as easy as possible. Just click Create with AI, add a title, and select options for organisational sector, attack vector, threat actor, and scenario size. This will generate a full scenario, from the briefing to the epilogue. You can even make a cuppa while it works!🪄✨ Once created, these scenarios can be published or edited and published in your organisation's catalogue. But how exactly does it work? Organisation admins can turn the AI Scenario Generator on and off in the platform settings area, so you’ll need this to be turned on if you want to try it out! Our AI Scenario Generator is currently only available to our Cyber Crisis Simulator customers. It’s based on technology provided by OpenAI, with generations based on publicly available data related to crisis management as well as our own Immersive Labs Crisis Sim catalogue. Organisation admins can choose to use the feature in a layered approach: No AI access at all: This means that your organisation has chosen not to enable the AI Scenario Generator. Without scenario sharing enabled: You can generate AI scenarios based only on the inputs shown in the generation box. With scenario sharing enabled: The AI will access specific parts of your previously published scenarios when generating new ones, ensuring the new scenario is highly relevant to your context. These settings can be updated on the organisation's settings page. If you’re keen to use the AI Scenario Generator but it’s not enabled in your organisation, you’ll need to discuss this with your internal Organization Administrator. If you’re an Organization Administrator and want to know more about the feature, contact your CSM. Tell me more about scenario sharing! If your organisation chooses to also enable scenario sharing, Immersive Labs will include specific information from any previous custom scenarios that you’ve published in the temporary “context window” for requests to our third-party AI vendor. A "context window" is an extension of the query sent to an AI model. It exists only during the processing of the query and isn’t saved by any third parties. The third-party AI vendor won’t use any of the information you share to train its models. Shared data will only ever be included in this temporary "context window" of generation and won’t be stored by the third-party AI vendor. The shared information includes scenario titles, descriptions, inject titles, and response options. It excludes feedback to response options, exercise information, reporting, account or organisation information fields, or metadata. Scenario sharing is designed to make the generated scenario more relevant to your particular context. You can still create scenarios using AI without scenario sharing, but your scenario will likely be more generic and less relevant to your particular organisational context. However, you can still edit the final version to make it more relevant to you – just like with our catalogue scenarios. Let’s not forget the human in the loop As with all things AI, we recommend that you review the AI output before publishing your scenario, to ensure it meets your needs. The AI Scenario Generator currently only generates text content, so you’ll probably want to add additional rich media, such as images or videos, to your scenario. To get the most out of your crisis simulation, we also recommend enabling, adding, changing, and checking certain elements. These include: Checking that you’re happy with the text formatting and narrative content Checking that you’re satisfied with the role listed Enabling and adding response feedback or performance indicators If you want to capture ranked response data, select the ranked options setting and add a rank (great, good, weak, okay) to each response option to suit your organisation's preferred situational response Turning on response confidence or justifications Get involved and share your thoughts! We know that AI is a hot topic and we’re keen to hear and capture your feedback and suggestions on this first release of our AI Scenario Generator as part of our user research taking place this November and December. If you want to participate in this research, you’ll be able to share your thoughts and experiences of using our AI tool and scenario creation more generally directly with our team. Comment below if you’d like to find out more, and we’ll contact you with further details! If you’re an Immersive Labs customer, you can find out more about the AI Scenario Generator in our FAQ guide.
EmmaWalker
9 months ago Place The Human Connection Blog
443Views
4likes
1Comment

"}},"componentScriptGroups({\"componentId\":\"custom.widget.Analytics\"})":{"__typename":"ComponentScriptGroups","scriptGroups":{"__typename":"ComponentScriptGroupsDefinition","afterInteractive":{"__typename":"PageScriptGroupDefinition","group":"AFTER_INTERACTIVE","scriptIds":[]},"lazyOnLoad":{"__typename":"PageScriptGroupDefinition","group":"LAZY_ON_LOAD","scriptIds":[]}},"componentScripts":[]},"component({\"componentId\":\"custom.widget.Custom_Scripts\"})":{"__typename":"Component","render({\"context\":{\"component\":{\"entities\":[],\"props\":{}},\"page\":{\"entities\":[],\"name\":\"TagPage\",\"props\":{},\"url\":\"https://community.immersivelabs.com/tag/artificial%20intelligence\"}}})":{"__typename":"ComponentRenderResult","html":""}},"componentScriptGroups({\"componentId\":\"custom.widget.Custom_Scripts\"})":{"__typename":"ComponentScriptGroups","scriptGroups":{"__typename":"ComponentScriptGroupsDefinition","afterInteractive":{"__typename":"PageScriptGroupDefinition","group":"AFTER_INTERACTIVE","scriptIds":[]},"lazyOnLoad":{"__typename":"PageScriptGroupDefinition","group":"LAZY_ON_LOAD","scriptIds":[]}},"componentScripts":[]},"cachedText({\"lastModified\":\"1752670200854\",\"locale\":\"en-US\",\"namespaces\":[\"components/community/NavbarDropdownToggle\"]})":[{"__ref":"CachedAsset:text:en_US-components/community/NavbarDropdownToggle-1752670200854"}],"cachedText({\"lastModified\":\"1752670200854\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageListTabs\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageListTabs-1752670200854"}],"cachedText({\"lastModified\":\"1752670200854\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageView/MessageViewInline\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageView/MessageViewInline-1752670200854"}],"cachedText({\"lastModified\":\"1752670200854\",\"locale\":\"en-US\",\"namespaces\":[\"shared/client/components/common/OverflowNav\"]})":[{"__ref":"CachedAsset:text:en_US-shared/client/components/common/OverflowNav-1752670200854"}],"cachedText({\"lastModified\":\"1752670200854\",\"locale\":\"en-US\",\"namespaces\":[\"components/users/UserLink\"]})":[{"__ref":"CachedAsset:text:en_US-components/users/UserLink-1752670200854"}],"cachedText({\"lastModified\":\"1752670200854\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageSubject\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageSubject-1752670200854"}],"cachedText({\"lastModified\":\"1752670200854\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageBody\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageBody-1752670200854"}],"cachedText({\"lastModified\":\"1752670200854\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageTime\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageTime-1752670200854"}],"cachedText({\"lastModified\":\"1752670200854\",\"locale\":\"en-US\",\"namespaces\":[\"shared/client/components/nodes/NodeIcon\"]})":[{"__ref":"CachedAsset:text:en_US-shared/client/components/nodes/NodeIcon-1752670200854"}],"cachedText({\"lastModified\":\"1752670200854\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageUnreadCount\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageUnreadCount-1752670200854"}],"cachedText({\"lastModified\":\"1752670200854\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageViewCount\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageViewCount-1752670200854"}],"cachedText({\"lastModified\":\"1752670200854\",\"locale\":\"en-US\",\"namespaces\":[\"components/kudos/KudosCount\"]})":[{"__ref":"CachedAsset:text:en_US-components/kudos/KudosCount-1752670200854"}],"cachedText({\"lastModified\":\"1752670200854\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageRepliesCount\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageRepliesCount-1752670200854"}],"cachedText({\"lastModified\":\"1752670200854\",\"locale\":\"en-US\",\"namespaces\":[\"shared/client/components/users/UserAvatar\"]})":[{"__ref":"CachedAsset:text:en_US-shared/client/components/users/UserAvatar-1752670200854"}]},"Theme:customTheme1":{"__typename":"Theme","id":"customTheme1"},"User:user:-1":{"__typename":"User","id":"user:-1","entityType":"USER","eventPath":"community:dnvaw96485/user:-1","uid":-1,"login":"Anonymous","email":"","avatar":null,"rank":null,"kudosWeight":1,"registrationData":{"__typename":"RegistrationData","status":"ANONYMOUS","registrationTime":null,"confirmEmailStatus":false,"registrationAccessLevel":"VIEW","ssoRegistrationFields":[]},"ssoId":null,"profileSettings":{"__typename":"ProfileSettings","dateDisplayStyle":{"__typename":"InheritableStringSettingWithPossibleValues","key":"layout.friendly_dates_enabled","value":"true","localValue":"true","possibleValues":["true","false"]},"dateDisplayFormat":{"__typename":"InheritableStringSetting","key":"layout.format_pattern_date","value":"MM-dd-yyyy","localValue":"MM-dd-yyyy"},"language":{"__typename":"InheritableStringSettingWithPossibleValues","key":"profile.language","value":"en-US","localValue":null,"possibleValues":["en-US","es-ES"]},"repliesSortOrder":{"__typename":"InheritableStringSettingWithPossibleValues","key":"config.user_replies_sort_order","value":"DEFAULT","localValue":"DEFAULT","possibleValues":["DEFAULT","LIKES","PUBLISH_TIME","REVERSE_PUBLISH_TIME"]}},"deleted":false},"CachedAsset:pages-1752670202055":{"__typename":"CachedAsset","id":"pages-1752670202055","value":[{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"BlogViewAllPostsPage","type":"BLOG","urlPath":"/category/:categoryId/blog/:boardId/all-posts/(/:after|/:before)?","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"CasePortalPage","type":"CASE_PORTAL","urlPath":"/caseportal","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"CreateGroupHubPage","type":"GROUP_HUB","urlPath":"/groups/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"CaseViewPage","type":"CASE_DETAILS","urlPath":"/case/:caseId/:caseNumber","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"InboxPage","type":"COMMUNITY","urlPath":"/inbox","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"HelpFAQPage","type":"COMMUNITY","urlPath":"/help","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"IdeaMessagePage","type":"IDEA_POST","urlPath":"/idea/:boardId/:messageSubject/:messageId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"IdeaViewAllIdeasPage","type":"IDEA","urlPath":"/category/:categoryId/ideas/:boardId/all-ideas/(/:after|/:before)?","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"LoginPage","type":"USER","urlPath":"/signin","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"WorkstreamsPage","type":"COMMUNITY","urlPath":"/workstreams","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"BlogPostPage","type":"BLOG","urlPath":"/category/:categoryId/blogs/:boardId/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"ThemeEditorPage","type":"COMMUNITY","urlPath":"/designer/themes","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"TkbViewAllArticlesPage","type":"TKB","urlPath":"/category/:categoryId/kb/:boardId/all-articles/(/:after|/:before)?","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"OccasionEditPage","type":"EVENT","urlPath":"/event/:boardId/:messageSubject/:messageId/edit","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"OAuthAuthorizationAllowPage","type":"USER","urlPath":"/auth/authorize/allow","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"PageEditorPage","type":"COMMUNITY","urlPath":"/designer/pages","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"PostPage","type":"COMMUNITY","urlPath":"/category/:categoryId/:boardId/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"ForumBoardPage","type":"FORUM","urlPath":"/category/:categoryId/discussions/:boardId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"TkbBoardPage","type":"TKB","urlPath":"/category/:categoryId/kb/:boardId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"EventPostPage","type":"EVENT","urlPath":"/category/:categoryId/events/:boardId/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"UserBadgesPage","type":"COMMUNITY","urlPath":"/users/:login/:userId/badges","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"GroupHubMembershipAction","type":"GROUP_HUB","urlPath":"/membership/join/:nodeId/:membershipType","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"MaintenancePage","type":"COMMUNITY","urlPath":"/maintenance","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"IdeaReplyPage","type":"IDEA_REPLY","urlPath":"/idea/:boardId/:messageSubject/:messageId/comments/:replyId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"UserSettingsPage","type":"USER","urlPath":"/mysettings/:userSettingsTab","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"GroupHubsPage","type":"GROUP_HUB","urlPath":"/groups","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"ForumPostPage","type":"FORUM","urlPath":"/category/:categoryId/discussions/:boardId/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"OccasionRsvpActionPage","type":"OCCASION","urlPath":"/event/:boardId/:messageSubject/:messageId/rsvp/:responseType","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"VerifyUserEmailPage","type":"USER","urlPath":"/verifyemail/:userId/:verifyEmailToken","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"AllOccasionsPage","type":"OCCASION","urlPath":"/category/:categoryId/events/:boardId/all-events/(/:after|/:before)?","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"EventBoardPage","type":"EVENT","urlPath":"/category/:categoryId/events/:boardId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"TkbReplyPage","type":"TKB_REPLY","urlPath":"/kb/:boardId/:messageSubject/:messageId/comments/:replyId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"IdeaBoardPage","type":"IDEA","urlPath":"/category/:categoryId/ideas/:boardId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"CommunityGuideLinesPage","type":"COMMUNITY","urlPath":"/communityguidelines","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"CaseCreatePage","type":"SALESFORCE_CASE_CREATION","urlPath":"/caseportal/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"TkbEditPage","type":"TKB","urlPath":"/kb/:boardId/:messageSubject/:messageId/edit","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"ForgotPasswordPage","type":"USER","urlPath":"/forgotpassword","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"IdeaEditPage","type":"IDEA","urlPath":"/idea/:boardId/:messageSubject/:messageId/edit","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"TagPage","type":"COMMUNITY","urlPath":"/tag/:tagName","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"BlogBoardPage","type":"BLOG","urlPath":"/category/:categoryId/blog/:boardId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"OccasionMessagePage","type":"OCCASION_TOPIC","urlPath":"/event/:boardId/:messageSubject/:messageId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"ManageContentPage","type":"COMMUNITY","urlPath":"/managecontent","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"ClosedMembershipNodeNonMembersPage","type":"GROUP_HUB","urlPath":"/closedgroup/:groupHubId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"CommunityPage","type":"COMMUNITY","urlPath":"/","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"ForumMessagePage","type":"FORUM_TOPIC","urlPath":"/discussions/:boardId/:messageSubject/:messageId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"IdeaPostPage","type":"IDEA","urlPath":"/category/:categoryId/ideas/:boardId/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"BlogMessagePage","type":"BLOG_ARTICLE","urlPath":"/blog/:boardId/:messageSubject/:messageId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"RegistrationPage","type":"USER","urlPath":"/register","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"EditGroupHubPage","type":"GROUP_HUB","urlPath":"/group/:groupHubId/edit","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"ForumEditPage","type":"FORUM","urlPath":"/discussions/:boardId/:messageSubject/:messageId/edit","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"ResetPasswordPage","type":"USER","urlPath":"/resetpassword/:userId/:resetPasswordToken","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"TkbMessagePage","type":"TKB_ARTICLE","urlPath":"/kb/:boardId/:messageSubject/:messageId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"BlogEditPage","type":"BLOG","urlPath":"/blog/:boardId/:messageSubject/:messageId/edit","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"ManageUsersPage","type":"USER","urlPath":"/users/manage/:tab?/:manageUsersTab?","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"ForumReplyPage","type":"FORUM_REPLY","urlPath":"/discussions/:boardId/:messageSubject/:messageId/replies/:replyId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"PrivacyPolicyPage","type":"COMMUNITY","urlPath":"/privacypolicy","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"NotificationPage","type":"COMMUNITY","urlPath":"/notifications","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"UserPage","type":"USER","urlPath":"/users/:login/:userId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"HealthCheckPage","type":"COMMUNITY","urlPath":"/health","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"OccasionReplyPage","type":"OCCASION_REPLY","urlPath":"/event/:boardId/:messageSubject/:messageId/comments/:replyId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"ManageMembersPage","type":"GROUP_HUB","urlPath":"/group/:groupHubId/manage/:tab?","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"SearchResultsPage","type":"COMMUNITY","urlPath":"/search","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"BlogReplyPage","type":"BLOG_REPLY","urlPath":"/blog/:boardId/:messageSubject/:messageId/replies/:replyId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"GroupHubPage","type":"GROUP_HUB","urlPath":"/group/:groupHubId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"TermsOfServicePage","type":"COMMUNITY","urlPath":"/termsofservice","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"CategoryPage","type":"CATEGORY","urlPath":"/category/:categoryId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"ForumViewAllTopicsPage","type":"FORUM","urlPath":"/category/:categoryId/discussions/:boardId/all-topics/(/:after|/:before)?","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"TkbPostPage","type":"TKB","urlPath":"/category/:categoryId/kbs/:boardId/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1752670202055,"localOverride":null,"page":{"id":"GroupHubPostPage","type":"GROUP_HUB","urlPath":"/group/:groupHubId/:boardId/create","__typename":"PageDescriptor"},"__typename":"PageResource"}],"localOverride":false},"CachedAsset:text:en_US-components/context/AppContext/AppContextProvider-0":{"__typename":"CachedAsset","id":"text:en_US-components/context/AppContext/AppContextProvider-0","value":{"noCommunity":"Cannot find community","noUser":"Cannot find current user","noNode":"Cannot find node with id {nodeId}","noMessage":"Cannot find message with id {messageId}","userBanned":"We're sorry, but you have been banned from using this site.","userBannedReason":"You have been banned for the following reason: {reason}"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/common/Loading/LoadingDot-0":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/common/Loading/LoadingDot-0","value":{"title":"Loading..."},"localOverride":false},"CachedAsset:theme:customTheme1-1752670201640":{"__typename":"CachedAsset","id":"theme:customTheme1-1752670201640","value":{"id":"customTheme1","animation":{"fast":"150ms","normal":"250ms","slow":"500ms","slowest":"750ms","function":"cubic-bezier(0.07, 0.91, 0.51, 1)","__typename":"AnimationThemeSettings"},"avatar":{"borderRadius":"50%","collections":["custom"],"__typename":"AvatarThemeSettings"},"basics":{"browserIcon":{"imageAssetName":"67445c86d118f03d29f3e02f_Immersive_Favicon-1739352646053.png","imageLastModified":"1739352647623","__typename":"ThemeAsset"},"customerLogo":{"imageAssetName":"Community_Logo_-_Light-1739352757482.png","imageLastModified":"1739352759022","__typename":"ThemeAsset"},"maximumWidthOfPageContent":"1300px","oneColumnNarrowWidth":"800px","gridGutterWidthMd":"30px","gridGutterWidthXs":"10px","pageWidthStyle":"WIDTH_OF_BROWSER","__typename":"BasicsThemeSettings"},"buttons":{"borderRadiusSm":"3px","borderRadius":"3px","borderRadiusLg":"5px","paddingY":"5px","paddingYLg":"7px","paddingYHero":"var(--lia-bs-btn-padding-y-lg)","paddingX":"12px","paddingXLg":"16px","paddingXHero":"60px","fontStyle":"NORMAL","fontWeight":"400","textTransform":"NONE","disabledOpacity":0.5,"primaryTextColor":"var(--lia-bs-body-bg)","primaryTextHoverColor":"var(--lia-bs-body-bg)","primaryTextActiveColor":"var(--lia-bs-body-bg)","primaryBgColor":"var(--lia-bs-primary)","primaryBgHoverColor":"hsl(var(--lia-bs-primary-h), var(--lia-bs-primary-s), calc(var(--lia-bs-primary-l) * 0.85))","primaryBgActiveColor":"hsl(var(--lia-bs-primary-h), var(--lia-bs-primary-s), calc(var(--lia-bs-primary-l) * 0.7))","primaryBorder":"1px solid transparent","primaryBorderHover":"1px solid transparent","primaryBorderActive":"1px solid transparent","primaryBorderFocus":"1px solid var(--lia-bs-white)","primaryBoxShadowFocus":"0 0 0 1px var(--lia-bs-primary), 0 0 0 4px hsla(var(--lia-bs-primary-h), var(--lia-bs-primary-s), var(--lia-bs-primary-l), 0.2)","secondaryTextColor":"var(--lia-bs-body-color)","secondaryTextHoverColor":"hsl(var(--lia-bs-body-color-h), var(--lia-bs-body-color-s), calc(var(--lia-bs-body-color-l) * 0.95))","secondaryTextActiveColor":"hsl(var(--lia-bs-body-color-h), var(--lia-bs-body-color-s), calc(var(--lia-bs-body-color-l) * 0.9))","secondaryBgColor":"var(--lia-bs-body-bg)","secondaryBgHoverColor":"hsl(var(--lia-bs-body-bg-h), var(--lia-bs-body-bg-s), calc(var(--lia-bs-body-bg-l) * 0.96))","secondaryBgActiveColor":"hsl(var(--lia-bs-body-bg-h), var(--lia-bs-body-bg-s), calc(var(--lia-bs-body-bg-l) * 0.92))","secondaryBorder":"1px solid transparent","secondaryBorderHover":"1px solid transparent","secondaryBorderActive":"1px solid transparent","secondaryBorderFocus":"1px solid transparent","secondaryBoxShadowFocus":"0 0 0 1px var(--lia-bs-primary), 0 0 0 4px hsla(var(--lia-bs-primary-h), var(--lia-bs-primary-s), var(--lia-bs-primary-l), 0.2)","tertiaryTextColor":"var(--lia-bs-gray-900)","tertiaryTextHoverColor":"hsl(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), calc(var(--lia-bs-gray-900-l) * 0.95))","tertiaryTextActiveColor":"hsl(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), calc(var(--lia-bs-gray-900-l) * 0.9))","tertiaryBgColor":"transparent","tertiaryBgHoverColor":"transparent","tertiaryBgActiveColor":"hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.04)","tertiaryBorder":"1px solid transparent","tertiaryBorderHover":"1px solid hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.08)","tertiaryBorderActive":"1px solid transparent","tertiaryBorderFocus":"1px solid transparent","tertiaryBoxShadowFocus":"0 0 0 1px var(--lia-bs-primary), 0 0 0 4px hsla(var(--lia-bs-primary-h), var(--lia-bs-primary-s), var(--lia-bs-primary-l), 0.2)","destructiveTextColor":"var(--lia-bs-body-bg)","destructiveTextHoverColor":"var(--lia-bs-body-bg)","destructiveTextActiveColor":"var(--lia-bs-body-bg)","destructiveBgColor":"var(--lia-bs-danger)","destructiveBgHoverColor":"hsl(var(--lia-bs-danger-h), var(--lia-bs-danger-s), calc(var(--lia-bs-danger-l) * 0.85))","destructiveBgActiveColor":"hsl(var(--lia-bs-danger-h), var(--lia-bs-danger-s), calc(var(--lia-bs-danger-l) * 0.7))","destructiveBorder":"1px solid transparent","destructiveBorderHover":"1px solid transparent","destructiveBorderActive":"1px solid transparent","destructiveBorderFocus":"1px solid transparent","destructiveBoxShadowFocus":"0 0 0 1px var(--lia-bs-primary), 0 0 0 4px hsla(var(--lia-bs-primary-h), var(--lia-bs-primary-s), var(--lia-bs-primary-l), 0.2)","__typename":"ButtonsThemeSettings"},"border":{"color":"hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.08)","mainContent":"LIGHT","sideContent":"LIGHT","radiusSm":"6px","radius":"10px","radiusLg":"18px","radius50":"100vw","__typename":"BorderThemeSettings"},"boxShadow":{"xs":"0 0 0 1px hsla(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), var(--lia-bs-gray-900-l), 0.08), 0 3px 0 -1px hsla(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), var(--lia-bs-gray-900-l), 0.08)","sm":"0 2px 4px hsla(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), var(--lia-bs-gray-900-l), 0.06)","md":"0 5px 15px hsla(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), var(--lia-bs-gray-900-l), 0.15)","lg":"0 10px 30px hsla(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), var(--lia-bs-gray-900-l), 0.15)","__typename":"BoxShadowThemeSettings"},"cards":{"bgColor":"var(--lia-panel-bg-color)","borderRadius":"var(--lia-panel-border-radius)","boxShadow":"var(--lia-box-shadow-xs)","__typename":"CardsThemeSettings"},"chip":{"maxWidth":"300px","height":"30px","__typename":"ChipThemeSettings"},"coreTypes":{"defaultMessageLinkColor":"var(--lia-bs-primary)","defaultMessageLinkDecoration":"none","defaultMessageLinkFontStyle":"NORMAL","defaultMessageLinkFontWeight":"400","defaultMessageFontStyle":"NORMAL","defaultMessageFontWeight":"400","defaultMessageFontFamily":"var(--lia-bs-font-family-base)","forumColor":"#26B5E6","forumFontFamily":"var(--lia-bs-font-family-base)","forumFontWeight":"var(--lia-default-message-font-weight)","forumLineHeight":"var(--lia-bs-line-height-base)","forumFontStyle":"var(--lia-default-message-font-style)","forumMessageLinkColor":"var(--lia-default-message-link-color)","forumMessageLinkDecoration":"var(--lia-default-message-link-decoration)","forumMessageLinkFontStyle":"var(--lia-default-message-link-font-style)","forumMessageLinkFontWeight":"var(--lia-default-message-link-font-weight)","forumSolvedColor":"#3CA7A1","blogColor":"#3CA7A1","blogFontFamily":"var(--lia-bs-font-family-base)","blogFontWeight":"var(--lia-default-message-font-weight)","blogLineHeight":"1.75","blogFontStyle":"var(--lia-default-message-font-style)","blogMessageLinkColor":"var(--lia-default-message-link-color)","blogMessageLinkDecoration":"var(--lia-default-message-link-decoration)","blogMessageLinkFontStyle":"var(--lia-default-message-link-font-style)","blogMessageLinkFontWeight":"var(--lia-default-message-link-font-weight)","tkbColor":"#6E6F7C","tkbFontFamily":"var(--lia-bs-font-family-base)","tkbFontWeight":"var(--lia-default-message-font-weight)","tkbLineHeight":"1.75","tkbFontStyle":"var(--lia-default-message-font-style)","tkbMessageLinkColor":"var(--lia-default-message-link-color)","tkbMessageLinkDecoration":"var(--lia-default-message-link-decoration)","tkbMessageLinkFontStyle":"var(--lia-default-message-link-font-style)","tkbMessageLinkFontWeight":"var(--lia-default-message-link-font-weight)","qandaColor":"#4099E2","qandaFontFamily":"var(--lia-bs-font-family-base)","qandaFontWeight":"var(--lia-default-message-font-weight)","qandaLineHeight":"var(--lia-bs-line-height-base)","qandaFontStyle":"var(--lia-default-message-link-font-style)","qandaMessageLinkColor":"var(--lia-default-message-link-color)","qandaMessageLinkDecoration":"var(--lia-default-message-link-decoration)","qandaMessageLinkFontStyle":"var(--lia-default-message-link-font-style)","qandaMessageLinkFontWeight":"var(--lia-default-message-link-font-weight)","qandaSolvedColor":"#3FA023","ideaColor":"#FF8000","ideaFontFamily":"var(--lia-bs-font-family-base)","ideaFontWeight":"var(--lia-default-message-font-weight)","ideaLineHeight":"var(--lia-bs-line-height-base)","ideaFontStyle":"var(--lia-default-message-font-style)","ideaMessageLinkColor":"var(--lia-default-message-link-color)","ideaMessageLinkDecoration":"var(--lia-default-message-link-decoration)","ideaMessageLinkFontStyle":"var(--lia-default-message-link-font-style)","ideaMessageLinkFontWeight":"var(--lia-default-message-link-font-weight)","contestColor":"#FCC845","contestFontFamily":"var(--lia-bs-font-family-base)","contestFontWeight":"var(--lia-default-message-font-weight)","contestLineHeight":"var(--lia-bs-line-height-base)","contestFontStyle":"var(--lia-default-message-link-font-style)","contestMessageLinkColor":"var(--lia-default-message-link-color)","contestMessageLinkDecoration":"var(--lia-default-message-link-decoration)","contestMessageLinkFontStyle":"ITALIC","contestMessageLinkFontWeight":"var(--lia-default-message-link-font-weight)","occasionColor":"#E45C65","occasionFontFamily":"var(--lia-bs-font-family-base)","occasionFontWeight":"var(--lia-default-message-font-weight)","occasionLineHeight":"var(--lia-bs-line-height-base)","occasionFontStyle":"var(--lia-default-message-font-style)","occasionMessageLinkColor":"var(--lia-default-message-link-color)","occasionMessageLinkDecoration":"var(--lia-default-message-link-decoration)","occasionMessageLinkFontStyle":"var(--lia-default-message-link-font-style)","occasionMessageLinkFontWeight":"var(--lia-default-message-link-font-weight)","grouphubColor":"#9AE8E8","categoryColor":"#949494","communityColor":"#FFFFFF","productColor":"#949494","__typename":"CoreTypesThemeSettings"},"colors":{"black":"#000000","white":"#FFFFFF","gray100":"#F7F7F7","gray200":"#F7F7F7","gray300":"#E8E8E8","gray400":"#D9D9D9","gray500":"#CCCCCC","gray600":"#949494","gray700":"#707070","gray800":"#545454","gray900":"#333333","dark":"#545454","light":"#F7F7F7","primary":"#4563FF","secondary":"#333333","bodyText":"#10122A","bodyBg":"#F9F9FA","info":"#26B5E6","success":"#3CA7A1","warning":"#FBDC55","danger":"#E45C65","alertSystem":"#FF6600","textMuted":"#707070","highlight":"#FFFCAD","outline":"var(--lia-bs-primary)","custom":["#26B5E6","#E45C65","#6E6F7C","#D7D5E2","#C69A70","#FBDC55","#9AE8E8","#3CA7A1"],"__typename":"ColorsThemeSettings"},"divider":{"size":"3px","marginLeft":"4px","marginRight":"4px","borderRadius":"50%","bgColor":"var(--lia-bs-gray-600)","bgColorActive":"var(--lia-bs-gray-600)","__typename":"DividerThemeSettings"},"dropdown":{"fontSize":"var(--lia-bs-font-size-sm)","borderColor":"var(--lia-bs-border-color)","borderRadius":"var(--lia-bs-border-radius-sm)","dividerBg":"var(--lia-bs-gray-300)","itemPaddingY":"5px","itemPaddingX":"20px","headerColor":"var(--lia-bs-gray-700)","__typename":"DropdownThemeSettings"},"email":{"link":{"color":"#0069D4","hoverColor":"#0061c2","decoration":"none","hoverDecoration":"underline","__typename":"EmailLinkSettings"},"border":{"color":"#e4e4e4","__typename":"EmailBorderSettings"},"buttons":{"borderRadiusLg":"5px","paddingXLg":"16px","paddingYLg":"7px","fontWeight":"700","primaryTextColor":"#ffffff","primaryTextHoverColor":"#ffffff","primaryBgColor":"#0069D4","primaryBgHoverColor":"#005cb8","primaryBorder":"1px solid transparent","primaryBorderHover":"1px solid transparent","__typename":"EmailButtonsSettings"},"panel":{"borderRadius":"5px","borderColor":"#e4e4e4","__typename":"EmailPanelSettings"},"__typename":"EmailThemeSettings"},"emoji":{"skinToneDefault":"#ffcd43","skinToneLight":"#fae3c5","skinToneMediumLight":"#e2cfa5","skinToneMedium":"#daa478","skinToneMediumDark":"#a78058","skinToneDark":"#5e4d43","__typename":"EmojiThemeSettings"},"heading":{"color":"var(--lia-bs-body-color)","fontFamily":"Inter","fontStyle":"NORMAL","fontWeight":"500","h1FontSize":"34px","h2FontSize":"32px","h3FontSize":"28px","h4FontSize":"24px","h5FontSize":"20px","h6FontSize":"16px","lineHeight":"1.3","subHeaderFontSize":"11px","subHeaderFontWeight":"500","h1LetterSpacing":"normal","h2LetterSpacing":"normal","h3LetterSpacing":"normal","h4LetterSpacing":"normal","h5LetterSpacing":"normal","h6LetterSpacing":"normal","subHeaderLetterSpacing":"2px","h1FontWeight":"var(--lia-bs-headings-font-weight)","h2FontWeight":"var(--lia-bs-headings-font-weight)","h3FontWeight":"var(--lia-bs-headings-font-weight)","h4FontWeight":"var(--lia-bs-headings-font-weight)","h5FontWeight":"var(--lia-bs-headings-font-weight)","h6FontWeight":"var(--lia-bs-headings-font-weight)","__typename":"HeadingThemeSettings"},"icons":{"size10":"10px","size12":"12px","size14":"14px","size16":"16px","size20":"20px","size24":"24px","size30":"30px","size40":"40px","size50":"50px","size60":"60px","size80":"80px","size120":"120px","size160":"160px","__typename":"IconsThemeSettings"},"imagePreview":{"bgColor":"var(--lia-bs-gray-900)","titleColor":"var(--lia-bs-white)","controlColor":"var(--lia-bs-white)","controlBgColor":"var(--lia-bs-gray-800)","__typename":"ImagePreviewThemeSettings"},"input":{"borderColor":"var(--lia-bs-gray-600)","disabledColor":"var(--lia-bs-gray-600)","focusBorderColor":"var(--lia-bs-primary)","labelMarginBottom":"10px","btnFontSize":"var(--lia-bs-font-size-sm)","focusBoxShadow":"0 0 0 3px hsla(var(--lia-bs-primary-h), var(--lia-bs-primary-s), var(--lia-bs-primary-l), 0.2)","checkLabelMarginBottom":"2px","checkboxBorderRadius":"3px","borderRadiusSm":"var(--lia-bs-border-radius-sm)","borderRadius":"var(--lia-bs-border-radius)","borderRadiusLg":"var(--lia-bs-border-radius-lg)","formTextMarginTop":"4px","textAreaBorderRadius":"var(--lia-bs-border-radius)","activeFillColor":"var(--lia-bs-primary)","__typename":"InputThemeSettings"},"loading":{"dotDarkColor":"hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.2)","dotLightColor":"hsla(var(--lia-bs-white-h), var(--lia-bs-white-s), var(--lia-bs-white-l), 0.5)","barDarkColor":"hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.06)","barLightColor":"hsla(var(--lia-bs-white-h), var(--lia-bs-white-s), var(--lia-bs-white-l), 0.4)","__typename":"LoadingThemeSettings"},"link":{"color":"var(--lia-bs-primary)","hoverColor":"hsl(var(--lia-bs-primary-h), var(--lia-bs-primary-s), calc(var(--lia-bs-primary-l) - 10%))","decoration":"none","hoverDecoration":"underline","__typename":"LinkThemeSettings"},"listGroup":{"itemPaddingY":"15px","itemPaddingX":"15px","borderColor":"var(--lia-bs-gray-300)","__typename":"ListGroupThemeSettings"},"modal":{"contentTextColor":"var(--lia-bs-body-color)","contentBg":"var(--lia-bs-white)","backgroundBg":"var(--lia-bs-black)","smSize":"440px","mdSize":"760px","lgSize":"1080px","backdropOpacity":0.3,"contentBoxShadowXs":"var(--lia-bs-box-shadow-sm)","contentBoxShadow":"var(--lia-bs-box-shadow)","headerFontWeight":"700","__typename":"ModalThemeSettings"},"navbar":{"position":"FIXED","background":{"attachment":null,"clip":null,"color":"var(--lia-bs-white)","imageAssetName":"","imageLastModified":"0","origin":null,"position":"CENTER_CENTER","repeat":"NO_REPEAT","size":"COVER","__typename":"BackgroundProps"},"backgroundOpacity":0.8,"paddingTop":"15px","paddingBottom":"15px","borderBottom":"1px solid var(--lia-bs-border-color)","boxShadow":"var(--lia-bs-box-shadow-sm)","brandMarginRight":"30px","brandMarginRightSm":"10px","brandLogoHeight":"30px","linkGap":"10px","linkJustifyContent":"flex-start","linkPaddingY":"5px","linkPaddingX":"10px","linkDropdownPaddingY":"9px","linkDropdownPaddingX":"var(--lia-nav-link-px)","linkColor":"var(--lia-bs-body-color)","linkHoverColor":"var(--lia-bs-primary)","linkFontSize":"var(--lia-bs-font-size-sm)","linkFontStyle":"NORMAL","linkFontWeight":"400","linkTextTransform":"NONE","linkLetterSpacing":"normal","linkBorderRadius":"var(--lia-bs-border-radius-sm)","linkBgColor":"transparent","linkBgHoverColor":"transparent","linkBorder":"none","linkBorderHover":"none","linkBoxShadow":"none","linkBoxShadowHover":"none","linkTextBorderBottom":"none","linkTextBorderBottomHover":"none","dropdownPaddingTop":"10px","dropdownPaddingBottom":"15px","dropdownPaddingX":"10px","dropdownMenuOffset":"2px","dropdownDividerMarginTop":"10px","dropdownDividerMarginBottom":"10px","dropdownBorderColor":"hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.08)","controllerBgHoverColor":"hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.1)","controllerIconColor":"var(--lia-bs-body-color)","controllerIconHoverColor":"var(--lia-bs-body-color)","controllerTextColor":"var(--lia-nav-controller-icon-color)","controllerTextHoverColor":"var(--lia-nav-controller-icon-hover-color)","controllerHighlightColor":"hsla(30, 100%, 50%)","controllerHighlightTextColor":"var(--lia-yiq-light)","controllerBorderRadius":"var(--lia-border-radius-50)","hamburgerColor":"var(--lia-nav-controller-icon-color)","hamburgerHoverColor":"var(--lia-nav-controller-icon-color)","hamburgerBgColor":"transparent","hamburgerBgHoverColor":"transparent","hamburgerBorder":"none","hamburgerBorderHover":"none","collapseMenuMarginLeft":"20px","collapseMenuDividerBg":"var(--lia-nav-link-color)","collapseMenuDividerOpacity":0.16,"__typename":"NavbarThemeSettings"},"pager":{"textColor":"var(--lia-bs-link-color)","textFontWeight":"var(--lia-font-weight-md)","textFontSize":"var(--lia-bs-font-size-sm)","__typename":"PagerThemeSettings"},"panel":{"bgColor":"var(--lia-bs-white)","borderRadius":"var(--lia-bs-border-radius)","borderColor":"var(--lia-bs-border-color)","boxShadow":"none","__typename":"PanelThemeSettings"},"popover":{"arrowHeight":"8px","arrowWidth":"16px","maxWidth":"300px","minWidth":"100px","headerBg":"var(--lia-bs-white)","borderColor":"var(--lia-bs-border-color)","borderRadius":"var(--lia-bs-border-radius)","boxShadow":"0 0.5rem 1rem hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.15)","__typename":"PopoverThemeSettings"},"prism":{"color":"#000000","bgColor":"#f5f2f0","fontFamily":"var(--font-family-monospace)","fontSize":"var(--lia-bs-font-size-base)","fontWeightBold":"var(--lia-bs-font-weight-bold)","fontStyleItalic":"italic","tabSize":2,"highlightColor":"#b3d4fc","commentColor":"#62707e","punctuationColor":"#6f6f6f","namespaceOpacity":"0.7","propColor":"#990055","selectorColor":"#517a00","operatorColor":"#906736","operatorBgColor":"hsla(0, 0%, 100%, 0.5)","keywordColor":"#0076a9","functionColor":"#d3284b","variableColor":"#c14700","__typename":"PrismThemeSettings"},"rte":{"bgColor":"var(--lia-bs-white)","borderRadius":"var(--lia-panel-border-radius)","boxShadow":" var(--lia-panel-box-shadow)","customColor1":"#bfedd2","customColor2":"#fbeeb8","customColor3":"#f8cac6","customColor4":"#eccafa","customColor5":"#c2e0f4","customColor6":"#2dc26b","customColor7":"#f1c40f","customColor8":"#e03e2d","customColor9":"#b96ad9","customColor10":"#3598db","customColor11":"#169179","customColor12":"#e67e23","customColor13":"#ba372a","customColor14":"#843fa1","customColor15":"#236fa1","customColor16":"#ecf0f1","customColor17":"#ced4d9","customColor18":"#95a5a6","customColor19":"#7e8c8d","customColor20":"#34495e","customColor21":"#000000","customColor22":"#ffffff","defaultMessageHeaderMarginTop":"40px","defaultMessageHeaderMarginBottom":"20px","defaultMessageItemMarginTop":"0","defaultMessageItemMarginBottom":"30px","diffAddedColor":"hsla(170, 53%, 51%, 0.4)","diffChangedColor":"hsla(43, 97%, 63%, 0.4)","diffNoneColor":"hsla(0, 0%, 80%, 0.4)","diffRemovedColor":"hsla(9, 74%, 47%, 0.4)","specialMessageHeaderMarginTop":"40px","specialMessageHeaderMarginBottom":"20px","specialMessageItemMarginTop":"0","specialMessageItemMarginBottom":"30px","tableBgColor":"transparent","tableBorderColor":"var(--lia-bs-gray-700)","tableBorderStyle":"solid","tableCellPaddingX":"5px","tableCellPaddingY":"5px","tableTextColor":"var(--lia-bs-body-color)","tableVerticalAlign":"middle","__typename":"RteThemeSettings"},"tags":{"bgColor":"var(--lia-bs-gray-200)","bgHoverColor":"var(--lia-bs-gray-400)","borderRadius":"var(--lia-bs-border-radius-sm)","color":"var(--lia-bs-body-color)","hoverColor":"var(--lia-bs-body-color)","fontWeight":"var(--lia-font-weight-md)","fontSize":"var(--lia-font-size-xxs)","textTransform":"UPPERCASE","letterSpacing":"0.5px","__typename":"TagsThemeSettings"},"toasts":{"borderRadius":"var(--lia-bs-border-radius)","paddingX":"12px","__typename":"ToastsThemeSettings"},"typography":{"fontFamilyBase":"Inter","fontStyleBase":"NORMAL","fontWeightBase":"300","fontWeightLight":"300","fontWeightNormal":"400","fontWeightMd":"500","fontWeightBold":"700","letterSpacingSm":"normal","letterSpacingXs":"normal","lineHeightBase":"1.5","fontSizeBase":"16px","fontSizeXxs":"11px","fontSizeXs":"12px","fontSizeSm":"14px","fontSizeLg":"20px","fontSizeXl":"24px","smallFontSize":"14px","customFonts":[{"source":"GOOGLE","name":"Geologica","styles":[{"style":"NORMAL","weight":"100","__typename":"FontStyleData"},{"style":"NORMAL","weight":"500","__typename":"FontStyleData"}],"assetNames":["Geologica-normal-100.woff2","Geologica-normal-500.woff2"],"__typename":"CustomFont"}],"__typename":"TypographyThemeSettings"},"unstyledListItem":{"marginBottomSm":"5px","marginBottomMd":"10px","marginBottomLg":"15px","marginBottomXl":"20px","marginBottomXxl":"25px","__typename":"UnstyledListItemThemeSettings"},"yiq":{"light":"#ffffff","dark":"#000000","__typename":"YiqThemeSettings"},"colorLightness":{"primaryDark":0.36,"primaryLight":0.74,"primaryLighter":0.89,"primaryLightest":0.95,"infoDark":0.39,"infoLight":0.72,"infoLighter":0.85,"infoLightest":0.93,"successDark":0.24,"successLight":0.62,"successLighter":0.8,"successLightest":0.91,"warningDark":0.39,"warningLight":0.68,"warningLighter":0.84,"warningLightest":0.93,"dangerDark":0.41,"dangerLight":0.72,"dangerLighter":0.89,"dangerLightest":0.95,"__typename":"ColorLightnessThemeSettings"},"localOverride":false,"__typename":"Theme"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/common/Loading/LoadingDot-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/common/Loading/LoadingDot-1752670200854","value":{"title":"Loading..."},"localOverride":false},"CachedAsset:text:en_US-components/common/EmailVerification-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/common/EmailVerification-1752670200854","value":{"email.verification.title":"Email Verification Required","email.verification.message.update.email":"To participate in the community, you must first verify your email address. The verification email was sent to {email}. To change your email, visit My Settings.","email.verification.message.resend.email":"To participate in the community, you must first verify your email address. The verification email was sent to {email}. Resend email."},"localOverride":false},"CachedAsset:text:en_US-pages/tags/TagPage-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-pages/tags/TagPage-1752670200854","value":{"tagPageTitle":"Tag:\"{tagName}\" | {communityTitle}","tagPageForNodeTitle":"Tag:\"{tagName}\" in \"{title}\" | {communityTitle}","name":"Tags Page","tag":"Tag: {tagName}"},"localOverride":false},"CachedAsset:quilt:immersivelabs.prod:pages/tags/TagPage:community:dnvaw96485-1752670199888":{"__typename":"CachedAsset","id":"quilt:immersivelabs.prod:pages/tags/TagPage:community:dnvaw96485-1752670199888","value":{"id":"TagPage","container":{"id":"Common","headerProps":{"removeComponents":["community.widget.bannerWidget"],"__typename":"QuiltContainerSectionProps"},"items":[{"id":"tag-header-widget","layout":"ONE_COLUMN","bgColor":"var(--lia-bs-white)","showBorder":"BOTTOM","sectionEditLevel":"LOCKED","columnMap":{"main":[{"id":"tags.widget.TagsHeaderWidget","__typename":"QuiltComponent"}],"__typename":"OneSectionColumns"},"__typename":"OneColumnQuiltSection"},{"id":"messages-list-for-tag-widget","layout":"ONE_COLUMN","columnMap":{"main":[{"id":"messages.widget.messageListForNodeByRecentActivityWidget","props":{"viewVariant":{"type":"inline","props":{"useUnreadCount":true,"useViewCount":true,"useAuthorLogin":true,"clampBodyLines":3,"useAvatar":true,"useBoardIcon":false,"useKudosCount":true,"usePreviewMedia":true,"useTags":false,"useNode":true,"useNodeLink":true,"useTextBody":true,"truncateBodyLength":-1,"useBody":true,"useRepliesCount":true,"useSolvedBadge":true,"timeStampType":"conversation.lastPostingActivityTime","useMessageTimeLink":true,"clampSubjectLines":2}},"panelType":"divider","useTitle":false,"hideIfEmpty":false,"pagerVariant":{"type":"loadMore"},"style":"list","showTabs":true,"tabItemMap":{"default":{"mostRecent":true,"mostRecentUserContent":false,"newest":false},"additional":{"mostKudoed":true,"mostViewed":true,"mostReplies":false,"noReplies":false,"noSolutions":false,"solutions":false}}},"__typename":"QuiltComponent"}],"__typename":"OneSectionColumns"},"__typename":"OneColumnQuiltSection"}],"__typename":"QuiltContainer"},"__typename":"Quilt"},"localOverride":false},"CachedAsset:quiltWrapper:immersivelabs.prod:Common:1752670200346":{"__typename":"CachedAsset","id":"quiltWrapper:immersivelabs.prod:Common:1752670200346","value":{"id":"Common","header":{"backgroundImageProps":{"assetName":null,"backgroundSize":"COVER","backgroundRepeat":"NO_REPEAT","backgroundPosition":"CENTER_CENTER","lastModified":null,"__typename":"BackgroundImageProps"},"backgroundColor":"var(--lia-bs-body-color)","items":[{"id":"custom.widget.Analytics","props":{"widgetVisibility":"signedInOrAnonymous","useTitle":true,"usePageWidth":false,"useBackground":false,"title":""},"__typename":"QuiltComponent"},{"id":"community.widget.navbarWidget","props":{"showUserName":false,"showRegisterLink":false,"useIconLanguagePicker":true,"useLabelLanguagePicker":true,"className":"QuiltComponent_lia-component-edit-mode__0nCcm","links":{"sideLinks":[],"logoLinks":[],"mainLinks":[{"children":[{"linkType":"INTERNAL","id":"get-started-link","params":{"boardId":"get-started","categoryId":"welcome"},"routeName":"TkbBoardPage"},{"linkType":"INTERNAL","id":"migrated-link-2","params":{"boardId":"community-forum","categoryId":"welcome"},"routeName":"ForumBoardPage"},{"linkType":"INTERNAL","id":"migrated-link-1","params":{"boardId":"community-blog","categoryId":"welcome"},"routeName":"BlogBoardPage"},{"linkType":"INTERNAL","id":"Common-community-challenge-link","params":{"boardId":"community-challenge","categoryId":"help"},"routeName":"TkbBoardPage"},{"linkType":"INTERNAL","id":"Common-immersive-advocacy-program-link","params":{"groupHubId":"immersive-advocacy-program"},"routeName":"GroupHubPage"}],"linkType":"INTERNAL","id":"migrated-link-0","params":{"categoryId":"welcome"},"routeName":"CategoryPage"},{"children":[{"linkType":"INTERNAL","id":"help","params":{"boardId":"help","categoryId":"help"},"routeName":"ForumBoardPage"},{"linkType":"EXTERNAL","id":"external-2","url":"https://community.immersivelabs.com/category/help/discussions/help?messages.widget.messagelistfornodebyrecentactivitywidget-tab-main-ochszs-0=noSolutions","target":"SELF"},{"linkType":"INTERNAL","id":"cybertrust-massachusetts-link","params":{"groupHubId":"cybertrust-massachusetts"},"routeName":"GroupHubPage"},{"linkType":"EXTERNAL","id":"external-1","url":"https://immersivelabs.zendesk.com/hc/en-us","target":"BLANK"}],"linkType":"INTERNAL","id":"migrated-link-3","params":{"boardId":"help","categoryId":"discuss"},"routeName":"ForumBoardPage"},{"children":[{"linkType":"INTERNAL","id":"customer-blog","params":{"boardId":"customer-blog","categoryId":"blogs"},"routeName":"BlogBoardPage"},{"linkType":"INTERNAL","id":"the-human-connection-blog","params":{"boardId":"the-human-connection-blog","categoryId":"blogs"},"routeName":"BlogBoardPage"},{"linkType":"EXTERNAL","id":"external","url":"https://www.immersivelabs.com/resources/blog","target":"BLANK"}],"linkType":"INTERNAL","id":"migrated-link-4","params":{"categoryId":"blogs"},"routeName":"CategoryPage"},{"children":[{"linkType":"INTERNAL","id":"migrated-link-10","params":{"boardId":"customer-events","categoryId":"events"},"routeName":"EventBoardPage"},{"linkType":"INTERNAL","id":"migrated-link-11","params":{"boardId":"community-events","categoryId":"events"},"routeName":"EventBoardPage"}],"linkType":"INTERNAL","id":"migrated-link-9","params":{"categoryId":"events"},"routeName":"CategoryPage"},{"children":[{"linkType":"INTERNAL","id":"migrated-link-13","params":{"boardId":"cyber-million","categoryId":"cyber-million"},"routeName":"ForumBoardPage"},{"linkType":"EXTERNAL","id":"external-3","url":"https://community.immersivelabs.com/category/cyber-million/discussions/cyber-million?messages.widget.messagelistfornodebyrecentactivitywidget-tab-main-ouwewl-0=noSolutions","target":"SELF"},{"linkType":"INTERNAL","id":"migrated-link-14","params":{"boardId":"cyber-million-blog","categoryId":"cyber-million"},"routeName":"BlogBoardPage"},{"linkType":"EXTERNAL","id":"migrated-link-15","url":"https://www.immersivelabs.com/resources/cybermillion","target":"BLANK"}],"linkType":"INTERNAL","id":"migrated-link-12","params":{"categoryId":"cyber-million"},"routeName":"CategoryPage"}]},"style":{"boxShadow":"unset","linkFontWeight":"500","controllerHighlightColor":"#E45C65","dropdownDividerMarginBottom":"10px","hamburgerBorderHover":"none","linkFontSize":"16px","linkBoxShadowHover":"none","backgroundOpacity":1,"controllerBorderRadius":"var(--lia-border-radius-50)","hamburgerBgColor":"transparent","linkTextBorderBottom":"none","hamburgerColor":"var(--lia-nav-controller-icon-color)","brandLogoHeight":"80px","linkLetterSpacing":"normal","linkBgHoverColor":"transparent","collapseMenuDividerOpacity":0.16,"paddingBottom":"0px","dropdownPaddingBottom":"15px","dropdownMenuOffset":"2px","hamburgerBgHoverColor":"transparent","borderBottom":"unset","hamburgerBorder":"none","dropdownPaddingX":"10px","brandMarginRightSm":"10px","linkBoxShadow":"none","linkJustifyContent":"flex-end","linkColor":"var(--lia-bs-body-bg)","collapseMenuDividerBg":"var(--lia-nav-link-color)","dropdownPaddingTop":"10px","controllerHighlightTextColor":"var(--lia-yiq-dark)","controllerTextColor":"var(--lia-nav-controller-icon-color)","background":{"imageAssetName":"","color":"var(--lia-bs-body-color)","size":"COVER","repeat":"NO_REPEAT","position":"CENTER_CENTER","imageLastModified":""},"linkBorderRadius":"var(--lia-bs-border-radius-sm)","linkHoverColor":"var(--lia-bs-primary)","position":"FIXED","linkBorder":"none","linkTextBorderBottomHover":"0","brandMarginRight":"30px","hamburgerHoverColor":"var(--lia-nav-controller-icon-color)","linkBorderHover":"none","collapseMenuMarginLeft":"20px","linkFontStyle":"NORMAL","linkPaddingX":"10px","controllerTextHoverColor":"var(--lia-nav-controller-icon-hover-color)","paddingTop":"0px","linkPaddingY":"5px","linkTextTransform":"NONE","dropdownBorderColor":"hsla(var(--lia-bs-white-h), var(--lia-bs-white-s), var(--lia-bs-white-l), 0.08)","controllerBgHoverColor":"hsla(var(--lia-bs-white-h), var(--lia-bs-white-s), var(--lia-bs-white-l), 0.1)","linkDropdownPaddingX":"var(--lia-nav-link-px)","linkBgColor":"transparent","linkDropdownPaddingY":"9px","controllerIconColor":"var(--lia-bs-body-bg)","dropdownDividerMarginTop":"10px","linkGap":"10px","controllerIconHoverColor":"var(--lia-bs-body-bg)"},"showSearchIcon":false,"languagePickerStyle":"iconAndLabel"},"__typename":"QuiltComponent"},{"id":"community.widget.bannerWidget","props":{"backgroundColor":"transparent","visualEffects":{"showBottomBorder":true},"backgroundOpacity":50,"backgroundImageProps":{"backgroundSize":"COVER","backgroundPosition":"CENTER_CENTER","backgroundRepeat":"NO_REPEAT"},"fontColor":"var(--lia-bs-body-bg)"},"__typename":"QuiltComponent"},{"id":"community.widget.breadcrumbWidget","props":{"backgroundColor":"var(--lia-bs-body-color)","linkHighlightColor":"var(--lia-bs-body-bg)","visualEffects":{"showBottomBorder":false},"backgroundOpacity":100,"linkTextColor":"var(--lia-bs-body-bg)"},"__typename":"QuiltComponent"}],"__typename":"QuiltWrapperSection"},"footer":{"backgroundImageProps":{"assetName":null,"backgroundSize":"COVER","backgroundRepeat":"NO_REPEAT","backgroundPosition":"CENTER_CENTER","lastModified":null,"__typename":"BackgroundImageProps"},"backgroundColor":"var(--lia-bs-gray-200)","items":[{"id":"community.widget.footerWidget","props":null,"__typename":"QuiltComponent"},{"id":"custom.widget.Custom_Scripts","props":{"widgetVisibility":"signedInOrAnonymous","customComponentId":"custom.widget.Custom_Scripts","useBackground":false},"__typename":"QuiltComponent"}],"__typename":"QuiltWrapperSection"},"__typename":"QuiltWrapper","localOverride":false},"localOverride":false},"CachedAsset:text:en_US-components/common/ActionFeedback-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/common/ActionFeedback-1752670200854","value":{"joinedGroupHub.title":"Welcome","joinedGroupHub.message":"You are now a member of this group and are subscribed to updates.","groupHubInviteNotFound.title":"Invitation Not Found","groupHubInviteNotFound.message":"Sorry, we could not find your invitation to the group. The owner may have canceled the invite.","groupHubNotFound.title":"Group Not Found","groupHubNotFound.message":"The grouphub you tried to join does not exist. It may have been deleted.","existingGroupHubMember.title":"Already Joined","existingGroupHubMember.message":"You are already a member of this group.","accountLocked.title":"Account Locked","accountLocked.message":"Your account has been locked due to multiple failed attempts. Try again in {lockoutTime} minutes.","editedGroupHub.title":"Changes Saved","editedGroupHub.message":"Your group has been updated.","leftGroupHub.title":"Goodbye","leftGroupHub.message":"You are no longer a member of this group and will not receive future updates.","deletedGroupHub.title":"Deleted","deletedGroupHub.message":"The group has been deleted.","groupHubCreated.title":"Group Created","groupHubCreated.message":"{groupHubName} is ready to use","accountClosed.title":"Account Closed","accountClosed.message":"The account has been closed and you will now be redirected to the homepage","resetTokenExpired.title":"Reset Password Link has Expired","resetTokenExpired.message":"Try resetting your password again","invalidUrl.title":"Invalid URL","invalidUrl.message":"The URL you're using is not recognized. Verify your URL and try again.","accountClosedForUser.title":"Account Closed","accountClosedForUser.message":"{userName}'s account is closed","inviteTokenInvalid.title":"Invitation Invalid","inviteTokenInvalid.message":"Your invitation to the community has been canceled or expired.","inviteTokenError.title":"Invitation Verification Failed","inviteTokenError.message":"The url you are utilizing is not recognized. Verify your URL and try again","pageNotFound.title":"Access Denied","pageNotFound.message":"You do not have access to this area of the community or it doesn't exist","eventAttending.title":"Responded as Attending","eventAttending.message":"You'll be notified when there's new activity and reminded as the event approaches","eventInterested.title":"Responded as Interested","eventInterested.message":"You'll be notified when there's new activity and reminded as the event approaches","eventNotFound.title":"Event Not Found","eventNotFound.message":"The event you tried to respond to does not exist.","redirectToRelatedPage.title":"Showing Related Content","redirectToRelatedPageForBaseUsers.title":"Showing Related Content","redirectToRelatedPageForBaseUsers.message":"The content you are trying to access is archived","redirectToRelatedPage.message":"The content you are trying to access is archived","relatedUrl.archivalLink.flyoutMessage":"The content you are trying to access is archived View Archived Content"},"localOverride":false},"CachedAsset:component:custom.widget.Analytics-en-us-1752670223320":{"__typename":"CachedAsset","id":"component:custom.widget.Analytics-en-us-1752670223320","value":{"component":{"id":"custom.widget.Analytics","template":{"id":"Analytics","markupLanguage":"HANDLEBARS","style":null,"texts":{},"defaults":{"config":{"applicablePages":[],"description":"Analytics app from searchunify","fetchedContent":null,"__typename":"ComponentConfiguration"},"props":[],"__typename":"ComponentProperties"},"components":[{"id":"custom.widget.Analytics","form":null,"config":null,"props":[],"__typename":"Component"}],"grouping":"CUSTOM","__typename":"ComponentTemplate"},"properties":{"config":{"applicablePages":[],"description":"Analytics app from searchunify","fetchedContent":null,"__typename":"ComponentConfiguration"},"props":[],"__typename":"ComponentProperties"},"form":null,"__typename":"Component","localOverride":false},"globalCss":null,"form":null},"localOverride":false},"CachedAsset:component:custom.widget.Custom_Scripts-en-us-1752670223320":{"__typename":"CachedAsset","id":"component:custom.widget.Custom_Scripts-en-us-1752670223320","value":{"component":{"id":"custom.widget.Custom_Scripts","template":{"id":"Custom_Scripts","markupLanguage":"HANDLEBARS","style":null,"texts":{},"defaults":{"config":{"applicablePages":[],"description":"","fetchedContent":null,"__typename":"ComponentConfiguration"},"props":[],"__typename":"ComponentProperties"},"components":[{"id":"custom.widget.Custom_Scripts","form":null,"config":null,"props":[],"__typename":"Component"}],"grouping":"CUSTOM","__typename":"ComponentTemplate"},"properties":{"config":{"applicablePages":[],"description":"","fetchedContent":null,"__typename":"ComponentConfiguration"},"props":[],"__typename":"ComponentProperties"},"form":null,"__typename":"Component","localOverride":false},"globalCss":null,"form":null},"localOverride":false},"CachedAsset:text:en_US-components/community/Breadcrumb-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/community/Breadcrumb-1752670200854","value":{"navLabel":"Breadcrumbs","dropdown":"Additional parent page navigation"},"localOverride":false},"CachedAsset:text:en_US-components/tags/TagsHeaderWidget-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/tags/TagsHeaderWidget-1752670200854","value":{"tag":"{tagName}","topicsCount":"{count} {count, plural, one {Topic} other {Topics}}"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageListForNodeByRecentActivityWidget-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageListForNodeByRecentActivityWidget-1752670200854","value":{"title@userScope:other":"Recent Content","title@userScope:self":"Contributions","title@board:FORUM@userScope:other":"Recent Discussions","title@board:BLOG@userScope:other":"Recent Blogs","emptyDescription":"No content to show","MessageListForNodeByRecentActivityWidgetEditor.nodeScope.label":"Scope","title@instance:1714564690968":"Recent Blog Posts","title@instance:1715289331950":"Recent Discussions","title@instance:1711748122224":"Feed","title@instance:1714134050806":"What's New?"},"localOverride":false},"CachedAsset:text:en_US-components/community/FooterWidget-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/community/FooterWidget-1752670200854","value":{"homeLink":"Community Home","topOfPage":"Top of Page","buildHash":"Build Hash:","buildNumber":"Build Number:","buildTime":"Build Time:","privacyPolicy":"Privacy Policy","helpLink":"Help"},"localOverride":false},"Category:category:welcome":{"__typename":"Category","id":"category:welcome","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Blog:board:community-blog":{"__typename":"Blog","id":"board:community-blog","blogPolicies":{"__typename":"BlogPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}},"boardPolicies":{"__typename":"BoardPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:events":{"__typename":"Category","id":"category:events","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}},"displayId":"events"},"Category:category:cyber-million":{"__typename":"Category","id":"category:cyber-million","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Forum:board:cyber-million":{"__typename":"Forum","id":"board:cyber-million","forumPolicies":{"__typename":"ForumPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}},"boardPolicies":{"__typename":"BoardPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Blog:board:cyber-million-blog":{"__typename":"Blog","id":"board:cyber-million-blog","blogPolicies":{"__typename":"BlogPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}},"boardPolicies":{"__typename":"BoardPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Occasion:board:community-events":{"__typename":"Occasion","id":"board:community-events","boardPolicies":{"__typename":"BoardPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}},"occasionPolicies":{"__typename":"OccasionPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}},"displayId":"community-events","nodeType":"board","conversationStyle":"OCCASION","title":"Community Events","shortTitle":"Community Events","parent":{"__ref":"Category:category:events"}},"Forum:board:community-forum":{"__typename":"Forum","id":"board:community-forum","forumPolicies":{"__typename":"ForumPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}},"boardPolicies":{"__typename":"BoardPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Forum:board:help":{"__typename":"Forum","id":"board:help","forumPolicies":{"__typename":"ForumPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}},"boardPolicies":{"__typename":"BoardPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:blogs":{"__typename":"Category","id":"category:blogs","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}},"displayId":"blogs"},"Blog:board:the-human-connection-blog":{"__typename":"Blog","id":"board:the-human-connection-blog","blogPolicies":{"__typename":"BlogPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}},"boardPolicies":{"__typename":"BoardPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}},"displayId":"the-human-connection-blog","nodeType":"board","conversationStyle":"BLOG","title":"The Human Connection Blog","shortTitle":"The Human Connection Blog","parent":{"__ref":"Category:category:blogs"}},"Tkb:board:get-started":{"__typename":"Tkb","id":"board:get-started","tkbPolicies":{"__typename":"TkbPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}},"boardPolicies":{"__typename":"BoardPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Tkb:board:community-challenge":{"__typename":"Tkb","id":"board:community-challenge","tkbPolicies":{"__typename":"TkbPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}},"boardPolicies":{"__typename":"BoardPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Conversation:conversation:2687":{"__typename":"Conversation","id":"conversation:2687","topic":{"__typename":"BlogTopicMessage","uid":2687},"lastPostingActivityTime":"2025-07-24T09:16:44.608-07:00","solved":false},"User:user:238":{"__typename":"User","uid":238,"login":"JamieKnobles","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/dS0yMzgtaFJtQWZV?image-coordinates=265%2C0%2C781%2C516"},"id":"user:238"},"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0yNjg3LWw3TFp0MA?revision=1\"}":{"__typename":"AssociatedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0yNjg3LWw3TFp0MA?revision=1","title":"SME Blog-3.jpg","associationType":"COVER","width":3200,"height":2000,"altText":""},"BlogTopicMessage:message:2687":{"__typename":"BlogTopicMessage","subject":"Elevating Cyber Resilience: How GenAI is Revolutionizing Crisis Simulations","conversation":{"__ref":"Conversation:conversation:2687"},"id":"message:2687","entityType":"BLOG_ARTICLE","eventPath":"category:blogs/community:dnvaw96485board:the-human-connection-blog/message:2687","revisionNum":1,"uid":2687,"depth":0,"board":{"__ref":"Blog:board:the-human-connection-blog"},"author":{"__ref":"User:user:238"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"The cybersecurity landscape continues to shift dramatically. The familiar refrain of \"not if, but when\" is no longer a cautionary tale – it’s the undeniable reality shaping every organization. ","metrics":{"__typename":"MessageMetrics","views":7},"postTime":"2025-07-24T09:16:44.608-07:00","lastPublishTime":"2025-07-24T09:16:44.608-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Cyber threats have become a pervasive force within the business world, elevating the need for regular cyber resilience exercises into an organization-wide imperative. \n Genuine resilience is about more than prevention. It’s the agility to identify, respond to, and recover seamlessly from disruptions, ensuring uninterrupted business operations. This approach, which acknowledges the inevitability of a cyber event, is the hallmark of truly resilient organizations. \n Crisis simulations and cyber exercises are core to cultivating this resilience. \n Traditional cyber exercises, often static and presentation-driven, tend to serve as theoretical validations. While valuable for reviewing playbooks and pinpointing theoretical vulnerabilities, they frequently fall short of genuinely testing incident response and crisis handling capabilities, particularly in the dynamic, high-pressure environment of a real-world attack. \n The sheer velocity of modern cyber threats, frequently powered by sophisticated AI, demands a new level of precision and relevance in simulations. \n This is where Generative AI (GenAI) comes in. It can transform how we design and execute tabletop-style cyber crisis simulations, making them profoundly relevant and impactful. \n The challenge of an unpredictable threat landscape \n While traditional crisis simulations are beneficial, they have certain limitations. \n The first is that it’s difficult and time-consuming to create realistic scenarios that reflect the latest threat actor tactics, techniques, and procedures (TTPs), and are meticulously tailored to an organization's unique infrastructure and risk profile. \n Analysts will also dedicate extensive hours to research, developing intricate narratives and manually injecting variables to ensure a robust challenge. However, this can sometimes result in a predictable exercise that doesn't fully prepare teams for the inherent chaos and unpredictability of a real-world incident. \n The human element in cyber resilience is also key. As Oliver Newbury, a member of Immersive's board of directors, recently emphasized: \n \"Security is about people, process, and technology. I would have expected as much focus on upskilling people as on implementing new tools. It's the people using those tools who ultimately prevent breaches.\" \n Static simulations often fail to truly engage and challenge human teams, limiting their ability to build crucial muscle memory for swift decision-making under pressure. \n Elevating your crisis simulations with GenAI \n So, how does GenAI fit into the picture? This powerful technology can create novel content based on patterns learned from vast datasets. In doing so, it offers an unprecedented opportunity to inject realism and adaptability into crisis simulations. \n Just imagine the possibilities: \n \n Hyper-realistic scenario generation: GenAI can analyze current threat intelligence, recent attack patterns, and insights into your organization's specific weak spots to generate realistic and precisely tailored crisis scenarios. This ensures each exercise directly reflects the most pertinent and dangerous threats, making the experience far more impactful for your teams. \n Optimized playbook stress testing: GenAI doesn't just ease the exercise creation process – it can analyze your existing playbooks and processes. It can then generate crisis scenarios specifically designed to stress-test your response plans, ensuring they’re robust and effective under pressure. This helps validate that your playbooks and processes are truly ready for action. \n Realistic communications and media drills: In addition to the technical aspects, GenAI can simulate realistic internal and external communications during a crisis. It can generate mock press releases, social media posts, and even stakeholder questions, exercising your communications team's ability to manage public perception and share accurate information under pressure. This is critical for protecting your brand reputation during a breach. \n Instant feedback and analysis: After an exercise, GenAI can quickly crunch the data generated during the simulation, giving you detailed insights into team performance, response times, decision accuracy, and where you can improve. This speeds up the feedback loop, helping you tweak and strengthen your resilience strategies much faster. \n Tailored learning journeys: After an exercise, GenAI can analyze how an individual or team performed, then recommend follow-up scenarios or activities to address weaknesses or enhance key skills. This allows for truly personalized and continuously improving readiness programs. \n \n Think about the recent explosion of sophisticated, AI-driven attacks, from deepfake scams to highly targeted ransomware. Organizations have to be ready for these advanced threats, and old methods alone might not cut it. \n GenAI lets us simulate these next-gen attacks with a level of detail we couldn't even dream of before. This ensures teams aren’t just prepared for what's already happened – they’re ready for what's coming. \n Empowering your people \n It’s important to remember that GenAI is here to improve human expertise, not replace it. \n Just as information recall differs from true knowledge, GenAI is augmenting the critical \"knowledge work\" in cybersecurity, rather than replacing it. Our real value isn’t just in what we know, but how we apply, interpret, and synthesize that knowledge to drive meaningful outcomes. \n Our job is to use tools like GenAI to empower our organizations and teams and provide them with realistic and effective exercise environments. \n GenAI offloads the rote, time-consuming tasks of content creation and data sifting, freeing us up to focus on high-value actions such as analyzing results, mentoring teams, and fine-tuning strategic responses. This pushes us towards the \"wisdom work\" that truly defines expertise in cyber resilience. \n Building a culture of constant improvement \n The ultimate goal of bringing GenAI into crisis simulations is to build a culture of constant improvement, where cyber readiness isn’t just a checklist item, but a deep-seated organizational habit. \n By immersing our teams in hyper-relevant, dynamic, and challenging scenarios, we build the confidence, skills, and muscle memory they need to ride out the inevitable cyber storms with resilience and agility. \n How are you using GenAI to improve your cyber resilience? Share your thoughts and experiences in the comments below! ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"6563","kudosSumWeight":0,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuNHwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0yNjg3LWw3TFp0MA?revision=1\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":{"__typename":"UploadedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0yNjg3LWw3TFp0MA?revision=1"},"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:2520":{"__typename":"Conversation","id":"conversation:2520","topic":{"__typename":"BlogTopicMessage","uid":2520},"lastPostingActivityTime":"2025-07-16T08:43:08.552-07:00","solved":false},"User:user:2":{"__typename":"User","uid":2,"login":"TillyCorless","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/dS0yLUVFRzh2WA?image-coordinates=867%2C1707%2C2734%2C3574"},"id":"user:2"},"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0yNTIwLURmSXRSbw?revision=4\"}":{"__typename":"AssociatedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0yNTIwLURmSXRSbw?revision=4","title":"SME Blog-4.jpg","associationType":"COVER","width":3200,"height":2000,"altText":""},"BlogTopicMessage:message:2520":{"__typename":"BlogTopicMessage","subject":"Your Guide to Effective AI Prompting","conversation":{"__ref":"Conversation:conversation:2520"},"id":"message:2520","entityType":"BLOG_ARTICLE","eventPath":"category:blogs/community:dnvaw96485board:the-human-connection-blog/message:2520","revisionNum":4,"uid":2520,"depth":0,"board":{"__ref":"Blog:board:the-human-connection-blog"},"author":{"__ref":"User:user:2"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"Our new AI-powered crisis simulation feature is a game-changer for preparing your team for the unexpected. To truly unlock its potential and generate the most relevant and real-world scenarios, effective prompting is key. This guide will walk you through the principles of crafting prompts that lead to impactful and realistic crisis simulations.","metrics":{"__typename":"MessageMetrics","views":44},"postTime":"2025-07-16T07:36:39.848-07:00","lastPublishTime":"2025-07-16T08:43:08.552-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Why Prompting Matters for Crisis Simulations \n Think of AI as a highly intelligent, but literal, assistant. The quality of its output directly reflects the clarity and specificity of your instructions. For crisis simulations, this means: \n \n Relevance: Tailored scenarios that mirror your organization's unique risks, industry, and operational environment. \n Realism: Scenarios that feel authentic, with credible triggers, evolving complications, and realistic stakeholder reactions. \n Depth: Multi-layered scenarios that challenge your team's decision-making, communication, and collaboration skills. \n Actionability: Scenarios that provide clear learning objectives and reveal actionable insights for improving your crisis response plan. \n \n Core Principles of Effective Prompting \n Be Specific, Not Vague \n Bad Prompt \"Generate a crisis.\" (Too generic, will give you a basic, unhelpful scenario.) \n Good Prompt \"Generate a cybersecurity crisis scenario for a mid-sized e-commerce fashion retailer. The trigger is a ransomware attack that encrypts customer databases and disrupts order fulfillment.\" \n Why it works It defines the what (cybersecurity crisis, ransomware), the who (e-commerce fashion retailer, mid-sized), and the impact (encrypted databases, disrupted orders). \n Define your organisation and context using our drop down fields, and then add additional context. \n Industry (e.g., healthcare, finance, manufacturing, tech, retail) \n Threat (e.g., data breach, natural disaster, product recall, public relations nightmare, supply chain disruption, insider threat, workplace violence, financial fraud) \n Attack vector (e.g., phishing attack, severe weather event, manufacturing defect, viral social media post, disgruntled employee action, sudden market downturn) \n The more information the AI has about your specific context, the more tailored the scenario will be so consider adding further information such as: \n \n Company Size: (e.g., small startup, multinational corporation) \n Key Products/Services: (e.g., cloud-based software, physical goods, financial advisory) \n Target Audience: (e.g., B2B clients, general consumers, specific demographics) \n Geographic Scope: (e.g., local, national, global operations) \n Relevant Regulations/Compliance: (e.g., GDPR, HIPAA, industry-specific standards) \n Current Trends/Challenges: (e.g., supply chain issues, inflation, new technologies) \n \n \n Example: \"Our company, 'Global Pharma Solutions,' is a multinational pharmaceutical company with a focus on novel drug development. We operate globally and are heavily regulated by the FDA and EMA. Generate a scenario reflecting a crisis involving a mislabeled drug batch, discovered shortly after market release in Europe and the US.\" \n \n Outline Key Stakeholders and Their Potential Reactions \n Realistic scenarios involve diverse stakeholders with varying interests and reactions. \n Internal: Employees, leadership, legal, HR, IT, communications, specific department teams. \n External: Customers, media, regulators, investors, suppliers, partners, general public, affected individuals. \n Desired Reaction: How should these stakeholders react? (e.g., panic, confusion, outrage, demanding answers, seeking legal action, offering support). \n \n Example: \"Include reactions from panicked customers flooding social media, calls from concerned regulators, and an internal IT team struggling to diagnose the issue. Also, factor in a potential negative news story breaking on a major industry publication.\" \n \n Inject Complications and Escalation \n Crises rarely remain static. Build in elements that make the scenario evolve and become more challenging. \n Secondary Events: (e.g., power outage during a cyberattack, additional product defects discovered, key personnel unavailable) \n Information Gaps/Misinformation: (e.g., conflicting reports, rumors spreading on social media, difficulty in verifying facts) \n Ethical Dilemmas: (e.g., balancing transparency with legal implications, prioritizing different stakeholder needs) \n Time Constraints: (e.g., a critical decision needed within 30 minutes, public statement required by end of day) \n \n Example: \"After the initial system outage, introduce a new complication: a cyber-espionage group claims responsibility on a dark web forum, threatening to release sensitive customer data if demands are not met, despite the initial incident being unrelated to a breach.\" \n \n Define the Learning Objectives (Optional, but Recommended) \n While the AI won't \"know\" your objectives, including them in your prompt can subtly guide its generation towards a scenario that helps you test specific aspects of your plan. \n \n Example: \"The scenario should test our team's ability to communicate effectively under pressure,\" or \"Focus on evaluating our supply chain resilience and alternative vendor protocols.\" \n \n By following these guidelines, you'll be well on your way to leveraging our AI crisis simulation feature to its fullest, preparing your team for any challenge the real world might throw at them. Happy simulating! ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"5151","kudosSumWeight":1,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuNHwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0yNTIwLURmSXRSbw?revision=4\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":{"__typename":"UploadedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0yNTIwLURmSXRSbw?revision=4"},"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:2529":{"__typename":"Conversation","id":"conversation:2529","topic":{"__typename":"BlogTopicMessage","uid":2529},"lastPostingActivityTime":"2025-06-26T07:56:08.942-07:00","solved":false},"User:user:1700":{"__typename":"User","uid":1700,"login":"SabrinaKayaci","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/dS0xNzAwLWVad3g1bw?image-coordinates=102%2C101%2C1155%2C1154"},"id":"user:1700"},"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0yNTI5LUxQWGxsWA?revision=4\"}":{"__typename":"AssociatedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0yNTI5LUxQWGxsWA?revision=4","title":"SME Blog-3.jpg","associationType":"COVER","width":3200,"height":2000,"altText":""},"BlogTopicMessage:message:2529":{"__typename":"BlogTopicMessage","subject":"From XSS and SQLi to AI-generated code and supply-chain compromise: How application security is evolving","conversation":{"__ref":"Conversation:conversation:2529"},"id":"message:2529","entityType":"BLOG_ARTICLE","eventPath":"category:blogs/community:dnvaw96485board:the-human-connection-blog/message:2529","revisionNum":4,"uid":2529,"depth":0,"board":{"__ref":"Blog:board:the-human-connection-blog"},"author":{"__ref":"User:user:1700"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":74},"postTime":"2025-06-26T07:29:13.844-07:00","lastPublishTime":"2025-06-26T07:56:08.942-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Keeping up with vulnerabilities is like playing a never-ending game of whack-a-mole. One day, we were knee-deep in XSS payloads and buffer overflows; the next, developers everywhere were plugging SQL injection holes with duct tape and regex. A lot of our earlier tech wasn’t built with security in mind – or at least not at the forefront of our minds. But over the past two decades, the culture has changed, and developers are shifting left. Programming languages, as well as the frameworks and ecosystems around them, are evolving and adapting to evade security threats. \n XSS: From everyday headache to “mostly handled” \n Remember when cross-site scripting (XSS) was every web developer’s nightmare? In the 2000s, it seemed like every other website was vulnerable. If you were lucky, your users’ only punishment was an annoying pop-up. If not, credentials and session cookies were up for grabs. \n Modern languages and frameworks took proactive steps in their designs. Today, many of them have built-in protections against common vulnerabilities like XSS. Some examples are: \n \n React, Angular, Vue: Automatically escape output by default. You have to go out of your way to render raw HTML (and they make you feel guilty about it). \n Django, Ruby on Rails, ASP.NET Core: Templates escape user input by default. \n Browsers: Even they pitch in, with features like Content Security Policy (CSP). \n \n It’s still possible to write a vulnerable application, but the bar is higher. As a result, attackers have a bigger hurdle to jump over. This is thanks to the evolution of how languages and frameworks approach security – not as a feature, but as the default. \n SQL injection: OR 1=1 is mostly history \n SQL injection once powered major data breaches. Now, parameterized queries have become the norm, and we’re on our way to leaving those days behind. \n \n Object-Relational Mappers (ORMs) like SQLAlchemy, Entity Framework, and Hibernate generate safe SQL. \n Most modern languages make string concatenation in queries unnecessary (and uncool). \n Even PHP, once infamous for its “raw SQL everywhere” approach, now encourages prepared statements and offers safe database APIs. \n \n Not a perfect world, but much improved. It’s crucial to keep in mind, however, that technology shouldn’t be relied upon uncritically to keep applications secure. Developers must do their due diligence. \n Memory mischief: The rise of Rust (and memory-managed languages) \n C and C++ are legendary for performance. And legendary for buffer overflows, use-after-free, and all manner of memory mischief. Enter memory-safe languages: \n \n Java, C#, Python: Garbage collection and managed memory eliminate entire classes of bugs. \n Rust: Takes it up a notch with ownership semantics, preventing data races and dangling pointers at compile time. \n \n A lot of system-level work has migrated to these “safer” languages, and the impact is apparent in everything from embedded devices to operating systems (hello, Rust in the Linux kernel). \n The new frontiers: AI and supply chain attacks \n Just as one threat starts to become old news, new threats emerge. Two of these are: \n Supply chain compromise \n The SolarWinds breach and NPM “event-stream” incident have put supply chain attacks in the spotlight over the last decade. It goes to highlight that you can write perfect code and still get breached because a dependency many levels deep was compromised. \n Some of the changes we’re seeing as a result: \n \n Package registries are adopting MFA and signing requirements. \n Software Bill of Materials (SBOM) is becoming a must-have, especially in regulated industries. \n \n But the battle is ongoing. If anything, our code is more interconnected than ever, and the rise of “vibe coding” is complicating matters further. \n AI-generated code \n AI tools like GitHub Copilot and ChatGPT are generating millions of code snippets. This is a double-edged sword. You get increased productivity, but the code is often vulnerable. This is partly a reflection of the insecurities in the code that the models were trained on. \n I asked ChatGPT 4.5 to identify the vulnerability in the following code and it couldn't. Can you? Leave a reply with your thoughts! \n @limits(calls=6, period=60)\n@app.route(\"/change-password\", methods=[\"POST\"])\ndef change_password():\n user = session.get(\"user\")\n if not user:\n return jsonify({\"message\": \"Unauthorised\"}), 401\n data = request.get_json()\n password = data.get(\"new_password\")\n if not password:\n return jsonify({\"message\": \"Password is required\"}), 400\n if not db.change_password(user, password):\n return jsonify({\"message\": \"Failed to change password\"}), 500\n return jsonify({\"message\": \"Password changed successfully\"}), 200\n\n\n@limits(calls=6, period=60)\n@app.route(\"/login\", methods=[\"GET\", \"POST\"])\ndef login():\n data = request.get_json()\n user = data.get(\"user\")\n password = data.get(\"password\")\n if not user or not password:\n return jsonify({\"message\": \"Username and password are required\"}), 400\n if not db.authenticate(user, password):\n return jsonify({\"message\": \"Invalid username or password\"}), 401\n session[\"user\"] = user\n return jsonify({\"message\": \"Logged in successfully\"}), 200\n \n The changes I expect to see going forward are: \n \n Guidelines and governance for AI-generated code: Programming languages or coding standards may soon explicitly include guidelines, validation rules, or security frameworks tailored to AI-assisted coding, ensuring generated code adheres to secure patterns. Work is already being done to create rules files for improved security. \n Integrated security checks at the IDE level: IDEs may embed deeper vulnerability scanning and real-time feedback directly within coding processes. Development environments or compilers may also come integrated with validation tools specifically attuned to potential weaknesses inherent in AI-generated code. \n Increased reliance on static/dynamic security analysis tools: Enhanced automated scanning integrated into CI/CD pipelines, detecting flaws pre-deployment. \n Keeping people in the loop: Security awareness should be a top priority, so everyone is ready for the worst-case scenario. \n Proving and improving skills: Developers’ training should increasingly emphasize secure coding, particularly when assisted by AI tools. \n \n At the current stage, thorough PR reviews are more crucial than ever. As with any code, always review and test AI-generated code, especially for security-sensitive logic. AI is a tool, not an auditor. \n Security: Not a feature, but a default \n Application security has come a long way from the Wild West days of the early internet. The biggest shift in the software development landscape is that security is no longer a bolt-on. \n Modern programming languages and ecosystems try to make the secure path the easy path. Defaults are safe (escaped output, parameterized queries), dangerous operations are noisy (compiler warnings, explicit function names), and security updates are automated (thanks to package managers and CI/CD integrations). \n Of course, attackers are creative, and the landscape is always shifting. But the evolution of programming languages, as well as the surrounding tools and communities, means developers have a fighting chance. \n While we face newer threats like AI-generated code vulnerabilities and supply chain compromise, the foundations are getting stronger. The key is to keep learning, stay skeptical, and use the tools at your disposal properly. \n The biggest shift I would like to see is the human element no longer being viewed as the “weakest link”. The moles never stop popping up, but now, at least, we have better mallets – and the resources to help us use them. ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"7806","kudosSumWeight":2,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuNHwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0yNTI5LUxQWGxsWA?revision=4\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":{"__typename":"UploadedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0yNTI5LUxQWGxsWA?revision=4"},"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:1777":{"__typename":"Conversation","id":"conversation:1777","topic":{"__typename":"OccasionTopicMessage","uid":1777},"lastPostingActivityTime":"2025-04-11T08:49:19.946-07:00","solved":false},"User:user:5":{"__typename":"User","uid":5,"login":"KieranRowley","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/dS01LVVrdjlHeQ?image-coordinates=0%2C384%2C3024%2C3408"},"id":"user:5"},"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xNzc3LXpNaTFxRA?revision=4\"}":{"__typename":"AssociatedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xNzc3LXpNaTFxRA?revision=4","title":"Screenshot 2025-03-11 at 08.20.46.png","associationType":"COVER","width":1277,"height":716,"altText":""},"OccasionTopicMessage:message:1777":{"__typename":"OccasionTopicMessage","subject":"Deepfake Defense: Building a Cyber-Ready Workforce in the Age of GenAI","conversation":{"__ref":"Conversation:conversation:1777"},"id":"message:1777","entityType":"EVENT_TOPIC","eventPath":"category:events/community:dnvaw96485board:community-events/message:1777","revisionNum":4,"uid":1777,"depth":0,"board":{"__ref":"Occasion:board:community-events"},"author":{"__ref":"User:user:5"},"metrics":{"__typename":"MessageMetrics","views":140},"postTime":"2025-03-11T01:27:48.069-07:00","lastPublishTime":"2025-04-11T08:49:19.946-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" This event has now ended. Watch the recording here. \n \n GenAI is reshaping cybersecurity—enhancing defenses while also introducing new risks. Deepfakes, GenAI-generated malware, and vulnerabilities introduced through GenAI coding tools demand a strategic shift to stay ahead of evolving threats. \n Join industry experts Jamie Knobles and John Blythe as they examine real-world GenAI-driven attacks and share actionable insights to strengthen cyber resilience. \n This webinar will provide cyber leaders with: \n \n A deep-dive into deepfake tactics and other GenAI-related threats. \n Strategies to increase cyber resilience across the entire workforce. \n Recommendations for proving cyber capabilities. \n \n Register today to gain the knowledge and strategies you need to proactively address the GenAI challenge, minimizing risk and maximizing the potential of this transformative technology. ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"903","kudosSumWeight":2,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuNHwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xNzc3LXpNaTFxRA?revision=4\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":null},"Conversation:conversation:1667":{"__typename":"Conversation","id":"conversation:1667","topic":{"__typename":"BlogTopicMessage","uid":1667},"lastPostingActivityTime":"2025-02-25T08:26:38.741-08:00","solved":false},"User:user:43":{"__typename":"User","uid":43,"login":"EllaBendrickChartier","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/dS00My1sNDBDRUY?image-coordinates=145%2C122%2C750%2C727"},"id":"user:43"},"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xNjY3LW1GUUFOeg?revision=1\"}":{"__typename":"AssociatedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xNjY3LW1GUUFOeg?revision=1","title":"SME Blog-4.jpg","associationType":"COVER","width":3200,"height":2000,"altText":""},"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xNjY3LXJtVktxZA?revision=1\"}":{"__typename":"AssociatedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xNjY3LXJtVktxZA?revision=1","title":"Screenshot 2025-02-25 at 9.19.23 AM.png","associationType":"BODY","width":362,"height":333,"altText":"A parody of the Kool-Aid Man, a large anthropomorphic pitcher, bursting through a brick wall. Instead of 'Oh Yeah!' on its face, it has 'AI' written, symbolizing AI’s sudden and disruptive rise."},"BlogTopicMessage:message:1667":{"__typename":"BlogTopicMessage","subject":"Breaking Down Walls to Make Way for AI","conversation":{"__ref":"Conversation:conversation:1667"},"id":"message:1667","entityType":"BLOG_ARTICLE","eventPath":"category:blogs/community:dnvaw96485board:the-human-connection-blog/message:1667","revisionNum":1,"uid":1667,"depth":0,"board":{"__ref":"Blog:board:the-human-connection-blog"},"author":{"__ref":"User:user:43"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"This blog post will review Immersive content to help upskill your team around artificial intelligence (AI). This includes dedicated AI content and recommendations for AI-adjacent risks. ","metrics":{"__typename":"MessageMetrics","views":81},"postTime":"2025-02-25T08:26:38.741-08:00","lastPublishTime":"2025-02-25T08:26:38.741-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" The rapid rise in the popularity and application of AI has been unprecedented. We are actively experiencing the dawn of a revolutionary chapter in technology and innovation, but it also feels a little like this, don't you think? \n \n AI is everywhere. Even where you didn’t ask for it, or frankly may not want it. Its rise brings security risks that require comprehensive, strategic management. \n Are you training your teams on AI security risks? Are you reviewing procedures to protect your business as the threat surface expands? You’re not alone. Let’s get into how we’re guiding customers through these challenges. \n Immersive can provide knowledge, skills building, and engaging challenges for your teams to address risks from different angles. \n Artificial intelligence foundations \n To protect an organization, you need to know what you’re protecting from. These are some of our core recommendations: \n AI for Business \n Gain an understanding of various risks associated with implementing and integrating AI in a business context. These risks include understanding the challenges of implementation, potential issues in day-to-day AI utilization, and the broader implications of AI on operations. These labs will equip individuals with the knowledge to effectively leverage AI, while being mindful of these risks. \n AI Fundamentals \n Learn about emerging threats, generative AI models, and prompt injection attacks. Gain a comprehensive understanding of AI's implications in cybersecurity, AI-related security risks, and gain practical experience mitigating those risks. \n Build knowledge around internal risks \n AI often enters businesses through productivity tools or internal chatbots, like ChatGPT, for HR or finance queries. Using internal AI apps creates risks around data access, data handling, privilege management, improper use of LLM, and compliance considerations (or consequences). Some of these considerations are also relevant for external risks with AI. Here are some collections to get your team’s gears turning around AI-adjacent considerations and internal risk: \n Cloud Security \n \n \n \n Identity and Access Management \n Secrets and Encryption in AWS \n NIST – Guidelines on Security and Privacy in Public Cloud Computing (800-144) \n \n \n \n Risk and Compliance \n \n \n \n ISO 22381 – Security and Resilience for Identification Systems \n ISO 27014 – Governance of Information Security \n ISO 27018 – Protecting Private Data in Public Clouds \n ISO 28000 – Security Management Systems for Supply Chains \n ISO 31000 – Risk Management \n \n \n \n Let’s not forget – with new tools comes new access and alerting patterns. You’ll need to ensure your Digital Forensics and Incident Response (DFIR) teams are ready for new signal analysis and identifying corresponding indicators of compromise (IoCs) with new technologies. \n Digital Forensics \n \n \n \n Introduction to Digital Forensics \n Digital Forensics \n Threat Hunting – Theory \n Threat Hunting \n Introduction to Incident Response and Forensics in AWS \n \n \n \n Upskill to protect your business from external risk \n As customer-facing AI expands, so does your threat surface. The risks remain rooted in attacks humans conduct today; they’re just becoming more sophisticated with AI. \n If threat actors use AI maliciously against your business, you might see advanced social engineering attacks. This could include sophisticated phishing attacks or AI-generated voice, image, or video to manipulate users into disclosing credentials. Here are a few hands-on content recommendations that will keep your team response ready: \n Events and Breaches Gain familiarity with some of the biggest cyber events and most infamous data breaches in hacking history. Buckle up for interactive labs that will get you thinking about real-world events and how AI could affect these types of scenarios. \n \n \n \n Events and Breaches: Data Exposure \n Events and Breaches: Phishing Fraud \n Events and Breaches: Data Leaks \n \n \n \n Emerging Threats \n Attackers are quick to adopt new tools and tactics, giving them a first-mover advantage. Labs in this collection will get you hands-on with the latest methods used by threat actors around the globe. These labs aren’t explicitly focused on AI threats, but since AI threats are rooted in legacy techniques, this collection will help your team prepare for the variations AI may introduce. \n There are also increased risks with publicly facing AI tools that are integrated into internal databases or systems. These non-human identities have access to potentially sensitive databases, making them inherently open to prompt injection attacks in addition to legacy techniques. Here are some of our content recommendations to prepare your teams explicitly for these types of AI challenges: \n Fundamental AI Algorithms \n Gain a deep understanding of various AI algorithms and their practical applications in cybersecurity. Engage with labs on machine learning, deep learning, specific algorithms, and complete tasks such as implementing algorithms and analyzing results. Practitioners will gain hands-on experience in applying AI techniques to enhance cybersecurity measures and mitigate cyber threats. \n AI Challenges \n Test your knowledge and skills around AI security risks such as AI plugin injections, function calling, and prompt injection attacks. Complete hands-on exercises to find vulnerabilities in AI systems, beat the bot, and actively exploit vulnerable LLM implementations. \n Staying ahead in a rapidly evolving tech landscape requires continuous learning and skill-building. But readiness doesn’t just stop there. You must also be well-practiced in handling new and challenging situations. Regular exercises, like prompt injection attack detection and AI-driven social engineering tabletop drills, are essential for keeping your teams prepared. \n As threats evolve, Immersive will continue to deliver integrated labs and industry-leading exercising capabilities so your teams are ready to protect your business. \n Share your thoughts \n What skills are critical for your team to mitigate AI risks? Did you beat our AI Challenges? Are you hungry for another byte 👾? Comment below! \n Stay ready in the face of increased risks – bot or not. Get updates in your inbox on posts like this by following the Human Connection Blog! ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"6466","kudosSumWeight":1,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuNHwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xNjY3LW1GUUFOeg?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuNHwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xNjY3LXJtVktxZA?revision=1\"}"}}],"totalCount":2,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":{"__typename":"UploadedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xNjY3LW1GUUFOeg?revision=1"},"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:1275":{"__typename":"Conversation","id":"conversation:1275","topic":{"__typename":"BlogTopicMessage","uid":1275},"lastPostingActivityTime":"2024-12-20T01:50:36.541-08:00","solved":false},"User:user:310":{"__typename":"User","uid":310,"login":"SalimRamjean","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/dS0zMTAtT0JnWWxW?image-coordinates=91%2C0%2C1292%2C1200"},"id":"user:310"},"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LUEwTnpTbg?revision=1\"}":{"__typename":"AssociatedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LUEwTnpTbg?revision=1","title":"SME Blog-4.jpg","associationType":"COVER","width":3200,"height":2000,"altText":""},"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LVg2M0VJNg?revision=1\"}":{"__typename":"AssociatedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LVg2M0VJNg?revision=1","title":"clipboard_image-1-1734686597861.png","associationType":"BODY","width":1281,"height":724,"altText":""},"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LWx3Ukh6Qw?revision=1\"}":{"__typename":"AssociatedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LWx3Ukh6Qw?revision=1","title":"clipboard_image-2-1734686598059.png","associationType":"BODY","width":1279,"height":717,"altText":""},"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LWQ3YkFNRA?revision=1\"}":{"__typename":"AssociatedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LWQ3YkFNRA?revision=1","title":"clipboard_image-3-1734686598103.png","associationType":"BODY","width":1276,"height":718,"altText":""},"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LWFzVnlnUQ?revision=1\"}":{"__typename":"AssociatedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LWFzVnlnUQ?revision=1","title":"clipboard_image-4-1734686597479.jpeg","associationType":"BODY","width":608,"height":355,"altText":""},"BlogTopicMessage:message:1275":{"__typename":"BlogTopicMessage","subject":"Mastering Crisis Sim: How We Got 25 Execs on the Edge of Their Seats","conversation":{"__ref":"Conversation:conversation:1275"},"id":"message:1275","entityType":"BLOG_ARTICLE","eventPath":"category:blogs/community:dnvaw96485board:the-human-connection-blog/message:1275","revisionNum":1,"uid":1275,"depth":0,"board":{"__ref":"Blog:board:the-human-connection-blog"},"author":{"__ref":"User:user:310"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"Have you ever wondered what it would take to get 25 senior executives fully engaged and on the edge of their seats? That’s exactly what happened when Immersive Labs and our partner, Mastercard, travelled to Pakistan to deliver a Crisis Sim for one of the country’s largest banks.\n\nIn this blog, we’ll share how we achieved it and how you can create a dynamic Crisis Sim experience.\n","metrics":{"__typename":"MessageMetrics","views":183},"postTime":"2024-12-20T01:30:32.618-08:00","lastPublishTime":"2024-12-20T01:30:32.618-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Let's start with the requirements. In this case, they were clear: \n 1) To have a fully customised exercise focusing on payment risks and cyber threats like fraud, ransomware, and cash-outs. This is the domain expertise of Mastercard, who had no issues creating this in the Immersive platform with our review and guidance. \n 2) To deliver this on-site in front of 25 senior execs (including the CEO, CTO, CISO, CFO, and numerous heads of departments). It’s definitely not easy getting this many board members together in one room, so we had to make the first best impression! \n What did we do, and why was it a success? \n The stakeholders told us that they’d run tabletop exercises before, so this wasn’t new to them. So, how did we turn what they expected to be a routine drill into an edge-of-the-seat experience? What made our approach unique? \n Realistic AI-generated videos \n The amazing Crisis Sim content creation team at Immersive Labs used generative AI to create highly realistic videos that felt as though they were straight from a Pakistani news channel. Mastercard provided us with a few scripts and ideas that helped bring the AI videos to life. \n \n AI video of a news reporter tailored to resemble the Pakistani news channel. \n \n AI video of a news reporter tailored to resemble the Pakistani news channel. \n Why did the execs jump out of their seats? \n That’s because we included the following in the videos: \n \n Footage of their building on the news and customer dissatisfaction over cyberattack repercussions. \n News reporters with local accents and dress styles mentioning the bank and stakeholders, and unhappy Tweets flooding social media. \n A video of their CEO, not his real face of course, but we used his name when it came to an inject where the stakeholders voted for ‘releasing a press statement to the public’. They even specifically asked us to ensure none of these videos leaked! But each video included the message “Exercise use only – not based on real events”. \n \n \n AI video of the CEO giving a press conference. \n Collaboration \n This success was a team effort. Getting any presentation done right, especially in person, requires planning and knowing your audience. This is where Mastercard brought their expertise to create and tailor the Crisis Sim exercise while we supported with our guidance and previous customer experience knowledge. Our roles, tasks, and responsibilities were clear. Top tip: If you’re planning an exercise, collaborate with others for ideas and support. \n Double act presentation \n Presenting as a team made all the difference. Mastercard’s expertise in engaging senior execs helped animate the session and avoid awkward silences, while I focused on facilitating the exercise. Doing this alone can be tricky – I’ve personally struggled with awkward silences during solo Crisis Sim sessions while juggling scenario questions, multiple responses, feedback, and facilitation all at once. Sharing the load was crucial, especially in a U-shaped room where I couldn’t easily move around. In this case, I didn’t need to worry about moving away from my laptop, leaving the close-up engagement completely for Mastercard to lead on. \n \n Image example of the U-shaped conference room this took place in. \n The feedback \n The feedback was overwhelmingly positive – they said it was their first experience with such a tabletop exercise, a stark contrast to their initial expectations. The AI videos sparked significant interest and curiosity. \n The collaboration between Mastercard and Immersive Labs successfully delivered an educational, engaging, and tailored exercise. The bank expressed interest in running a wider crisis drill in 2025 with multiple banks. So look forward to hearing about that in the future! \n Finding AI video scenarios in our Crisis Sim Catalogue \n If you clicked on any of the AI images above thinking it was a video, I’d like to apologise. They were just screenshots as the actual videos included sensitive, bank-specific details like names and locations that we can’t share externally. \n If you’d like to explore AI video scenarios in our Crisis Sim platform, check out titles like: \n \n Boardroom Betrayal: When Deepfakes Strike the Top \n Puppetmaster’s Revenge \n The Walls Have Ears – Part One \n The Walls Have Ears – Part Two \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"4324","kudosSumWeight":2,"repliesCount":1,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuNHwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LUEwTnpTbg?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuNHwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LVg2M0VJNg?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuNHwyLjF8b3wyNXxfTlZffDM","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LWx3Ukh6Qw?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuNHwyLjF8b3wyNXxfTlZffDQ","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LWQ3YkFNRA?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuNHwyLjF8b3wyNXxfTlZffDU","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LWFzVnlnUQ?revision=1\"}"}}],"totalCount":5,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":{"__typename":"UploadedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS0xMjc1LUEwTnpTbg?revision=1"},"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:944":{"__typename":"Conversation","id":"conversation:944","topic":{"__typename":"BlogTopicMessage","uid":944},"lastPostingActivityTime":"2024-11-11T06:35:38.942-08:00","solved":false},"User:user:394":{"__typename":"User","uid":394,"login":"EmmaWalker","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/dS0zOTQtNHRsQldJ?image-coordinates=0%2C599%2C2406%2C3005"},"id":"user:394"},"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS05NDQtcno5clZq?revision=2\"}":{"__typename":"AssociatedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS05NDQtcno5clZq?revision=2","title":"SME Blog-2.jpg","associationType":"COVER","width":3200,"height":2000,"altText":""},"BlogTopicMessage:message:944":{"__typename":"BlogTopicMessage","subject":"Feature Focus: Introducing the AI Scenario Generator","conversation":{"__ref":"Conversation:conversation:944"},"id":"message:944","entityType":"BLOG_ARTICLE","eventPath":"category:blogs/community:dnvaw96485board:the-human-connection-blog/message:944","revisionNum":2,"uid":944,"depth":0,"board":{"__ref":"Blog:board:the-human-connection-blog"},"author":{"__ref":"User:user:394"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"This month, we’re releasing a new Cyber Crisis Simulator feature: the ability to use generative AI to create scenarios from scratch. \n\nThis is the first Immersive Labs feature enabling users to create content with the help of AI and we’re really excited to hear what our community of users think!","metrics":{"__typename":"MessageMetrics","views":443},"postTime":"2024-11-07T01:48:59.564-08:00","lastPublishTime":"2024-11-07T01:48:59.564-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" In this blog, we’ll cover what this feature is and how you can use it. \n For this release, we’ve made creation as easy as possible. Just click Create with AI, add a title, and select options for organisational sector, attack vector, threat actor, and scenario size. \n This will generate a full scenario, from the briefing to the epilogue. You can even make a cuppa while it works!🪄✨ \n Once created, these scenarios can be published or edited and published in your organisation's catalogue. \n But how exactly does it work? \n Organisation admins can turn the AI Scenario Generator on and off in the platform settings area, so you’ll need this to be turned on if you want to try it out! \n Our AI Scenario Generator is currently only available to our Cyber Crisis Simulator customers. It’s based on technology provided by OpenAI, with generations based on publicly available data related to crisis management as well as our own Immersive Labs Crisis Sim catalogue. \n Organisation admins can choose to use the feature in a layered approach: \n \n No AI access at all: This means that your organisation has chosen not to enable the AI Scenario Generator. \n Without scenario sharing enabled: You can generate AI scenarios based only on the inputs shown in the generation box. \n With scenario sharing enabled: The AI will access specific parts of your previously published scenarios when generating new ones, ensuring the new scenario is highly relevant to your context. \n \n These settings can be updated on the organisation's settings page. If you’re keen to use the AI Scenario Generator but it’s not enabled in your organisation, you’ll need to discuss this with your internal Organization Administrator. \n If you’re an Organization Administrator and want to know more about the feature, contact your CSM. \n Tell me more about scenario sharing! \n If your organisation chooses to also enable scenario sharing, Immersive Labs will include specific information from any previous custom scenarios that you’ve published in the temporary “context window” for requests to our third-party AI vendor. \n A \"context window\" is an extension of the query sent to an AI model. It exists only during the processing of the query and isn’t saved by any third parties. The third-party AI vendor won’t use any of the information you share to train its models. Shared data will only ever be included in this temporary \"context window\" of generation and won’t be stored by the third-party AI vendor. \n The shared information includes scenario titles, descriptions, inject titles, and response options. It excludes feedback to response options, exercise information, reporting, account or organisation information fields, or metadata. \n Scenario sharing is designed to make the generated scenario more relevant to your particular context. You can still create scenarios using AI without scenario sharing, but your scenario will likely be more generic and less relevant to your particular organisational context. However, you can still edit the final version to make it more relevant to you – just like with our catalogue scenarios. \n Let’s not forget the human in the loop \n As with all things AI, we recommend that you review the AI output before publishing your scenario, to ensure it meets your needs. \n The AI Scenario Generator currently only generates text content, so you’ll probably want to add additional rich media, such as images or videos, to your scenario. To get the most out of your crisis simulation, we also recommend enabling, adding, changing, and checking certain elements. \n These include: \n \n Checking that you’re happy with the text formatting and narrative content \n Checking that you’re satisfied with the role listed \n Enabling and adding response feedback or performance indicators \n If you want to capture ranked response data, select the ranked options setting and add a rank (great, good, weak, okay) to each response option to suit your organisation's preferred situational response \n Turning on response confidence or justifications \n \n Get involved and share your thoughts! \n We know that AI is a hot topic and we’re keen to hear and capture your feedback and suggestions on this first release of our AI Scenario Generator as part of our user research taking place this November and December. \n If you want to participate in this research, you’ll be able to share your thoughts and experiences of using our AI tool and scenario creation more generally directly with our team. \n Comment below if you’d like to find out more, and we’ll contact you with further details! \n If you’re an Immersive Labs customer, you can find out more about the AI Scenario Generator in our FAQ guide. ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"4733","kudosSumWeight":4,"repliesCount":1,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuNHwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS05NDQtcno5clZq?revision=2\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":{"__typename":"UploadedImage","url":"https://community.immersivelabs.com/t5/s/dnvaw96485/images/bS05NDQtcno5clZq?revision=2"},"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"CachedAsset:text:en_US-components/community/Navbar-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/community/Navbar-1752670200854","value":{"community":"Community Home","inbox":"Inbox","manageContent":"Manage Content","tos":"Terms of Service","forgotPassword":"Forgot Password","themeEditor":"Theme Editor","edit":"Edit Navigation Bar","skipContent":"Skip to content","migrated-link-9":"Events","external-1":"Help Centre","migrated-link-7":"Customer Stories Blog","migrated-link-8":"SME Blog","customer-blog":"Product Updates","migrated-link-1":"Community Blog","the-human-connection-blog":"Human Connection Blog","migrated-link-2":"Community Forum","Common-external-link":"Community Challenge","migrated-link-0":"Community","migrated-link-5":"Customer Blog","migrated-link-6":"Cyber Threat Research Blog","migrated-link-3":"Help","migrated-link-4":"Learn","cyber-countdown-link":"Cyber Countdown","Common-immersive-advocacy-program-link":"Immersive Advocacy Program","migrated-link-14":"Cyber Million Blog","migrated-link-15":"Cyber Million Website","migrated-link-12":"Cyber Million","migrated-link-13":"Ask a Question","welcome":"Get Started","external-3":"Answer Questions","external-2":"Answer Questions","Common-community-challenge-link":"Community Challenge","migrated-link-10":"Customer Events","migrated-link-11":"Community Events","cybertrust-massachusetts-link":"CyberTrust Massachusetts","get-started-link":"Get Started","help":"Ask a Question","external":"Immersive Blog"},"localOverride":false},"CachedAsset:text:en_US-components/community/NavbarHamburgerDropdown-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/community/NavbarHamburgerDropdown-1752670200854","value":{"hamburgerLabel":"Side Menu"},"localOverride":false},"CachedAsset:text:en_US-components/community/BrandLogo-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/community/BrandLogo-1752670200854","value":{"logoAlt":"Khoros","themeLogoAlt":"Brand Logo"},"localOverride":false},"CachedAsset:text:en_US-components/community/NavbarTextLinks-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/community/NavbarTextLinks-1752670200854","value":{"more":"More"},"localOverride":false},"CachedAsset:text:en_US-components/authentication/AuthenticationLink-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/authentication/AuthenticationLink-1752670200854","value":{"title.login":"Sign In","title.registration":"Register","title.forgotPassword":"Forgot Password","title.multiAuthLogin":"Sign In"},"localOverride":false},"CachedAsset:text:en_US-components/nodes/NodeLink-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/nodes/NodeLink-1752670200854","value":{"place":"Place {name}"},"localOverride":false},"CachedAsset:text:en_US-components/tags/TagSubscriptionAction-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/tags/TagSubscriptionAction-1752670200854","value":{"success.follow.title":"Following Tag","success.unfollow.title":"Unfollowed Tag","success.follow.message.followAcrossCommunity":"You will be notified when this tag is used anywhere across the community","success.unfollowtag.message":"You will no longer be notified when this tag is used anywhere in this place","success.unfollowtagAcrossCommunity.message":"You will no longer be notified when this tag is used anywhere across the community","unexpected.error.title":"Error - Action Failed","unexpected.error.message":"An unidentified problem occurred during the action you took. Please try again later.","buttonTitle":"{isSubscribed, select, true {Unfollow} false {Follow} other{}}","unfollow":"Unfollow"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/common/QueryHandler-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/common/QueryHandler-1752670200854","value":{"title":"Query Handler"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/common/BuildInformation-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/common/BuildInformation-1752670200854","value":{"buildHash":"Build Hash: {buildHash}","buildNumber":"Build Number: {buildNumber}","buildTime":"Build Time: {buildTime}"},"localOverride":false},"CachedAsset:text:en_US-components/community/KhorosLogo-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/community/KhorosLogo-1752670200854","value":{"alt":"Powered By Khoros"},"localOverride":false},"Category:category:top":{"__typename":"Category","id":"category:top","nodeType":"category"},"CachedAsset:text:en_US-components/community/NavbarDropdownToggle-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/community/NavbarDropdownToggle-1752670200854","value":{"ariaLabelClosed":"Press the down arrow to open the menu"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageListTabs-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageListTabs-1752670200854","value":{"mostKudoed":"{value, select, IDEA {Most Votes} other {Most Likes}}","mostReplies":"Most Replies","mostViewed":"Most Viewed","newest":"{value, select, IDEA {Newest Ideas} OCCASION {Newest Events} other {Newest Topics}}","newestOccasions":"Newest Events","mostRecent":"Most Recent","noReplies":"No Replies Yet","noSolutions":"No Solutions Yet","solutions":"Solutions","mostRecentUserContent":"Most Recent","trending":"Trending","draft":"Drafts","spam":"Spam","abuse":"Abuse","moderation":"Moderation","tags":"Tags","PAST":"Past","UPCOMING":"Upcoming","sortBymostRecent":"Sort By Most Recent","sortBymostRecentUserContent":"Sort By Most Recent","sortBymostKudoed":"Sort By Most Likes","sortBymostReplies":"Sort By Most Replies","sortBymostViewed":"Sort By Most Viewed","sortBynewest":"Sort By Newest Topics","sortBynewestOccasions":"Sort By Newest Events","otherTabs":" Messages list in the {tab} for {conversationStyle}","guides":"Guides","archives":"Archives"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageView/MessageViewInline-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageView/MessageViewInline-1752670200854","value":{"bylineAuthor":"{bylineAuthor}","bylineBoard":"{bylineBoard}","anonymous":"Anonymous","place":"Place {bylineBoard}","gotoParent":"Go to parent {name}"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/common/OverflowNav-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/common/OverflowNav-1752670200854","value":{"toggleText":"More"},"localOverride":false},"CachedAsset:text:en_US-components/users/UserLink-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/users/UserLink-1752670200854","value":{"authorName":"View Profile: {author}","anonymous":"Anonymous"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageSubject-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageSubject-1752670200854","value":{"noSubject":"(no subject)"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageBody-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageBody-1752670200854","value":{"showMessageBody":"Show More","mentionsErrorTitle":"{mentionsType, select, board {Board} user {User} message {Message} other {}} No Longer Available","mentionsErrorMessage":"The {mentionsType} you are trying to view has been removed from the community.","videoProcessing":"Video is being processed. Please try again in a few minutes.","bannerTitle":"Video provider requires cookies to play the video. Accept to continue or {url} it directly on the provider's site.","buttonTitle":"Accept","urlText":"watch"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageTime-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageTime-1752670200854","value":{"postTime":"Published: {time}","lastPublishTime":"Last Update: {time}","conversation.lastPostingActivityTime":"Last posting activity time: {time}","conversation.lastPostTime":"Last post time: {time}","moderationData.rejectTime":"Rejected time: {time}"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/nodes/NodeIcon-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/nodes/NodeIcon-1752670200854","value":{"contentType":"Content Type {style, select, FORUM {Forum} BLOG {Blog} TKB {Knowledge Base} IDEA {Ideas} OCCASION {Events} other {}} icon"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageUnreadCount-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageUnreadCount-1752670200854","value":{"unread":"{count} unread","comments":"{count, plural, one { unread comment} other{ unread comments}}"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageViewCount-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageViewCount-1752670200854","value":{"textTitle":"{count, plural,one {View} other{Views}}","views":"{count, plural, one{View} other{Views}}"},"localOverride":false},"CachedAsset:text:en_US-components/kudos/KudosCount-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/kudos/KudosCount-1752670200854","value":{"textTitle":"{count, plural,one {{messageType, select, IDEA{Vote} other{Like}}} other{{messageType, select, IDEA{Votes} other{Likes}}}}","likes":"{count, plural, one{like} other{likes}}"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageRepliesCount-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageRepliesCount-1752670200854","value":{"textTitle":"{count, plural,one {{conversationStyle, select, IDEA{Comment} OCCASION{Comment} other{Reply}}} other{{conversationStyle, select, IDEA{Comments} OCCASION{Comments} other{Replies}}}}","comments":"{count, plural, one{Comment} other{Comments}}"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/users/UserAvatar-1752670200854":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/users/UserAvatar-1752670200854","value":{"altText":"{login}'s avatar","altTextGeneric":"User's avatar"},"localOverride":false}}}},"page":"/tags/TagPage/TagPage","query":{"tagName":"artificial intelligence"},"buildId":"3XH0qYWYCnEYycuN5W4S8","runtimeConfig":{"buildInformationVisible":false,"logLevelApp":"info","logLevelMetrics":"info","surveysEnabled":true,"openTelemetry":{"clientEnabled":false,"configName":"immersivelabs","serviceVersion":"25.4.0","universe":"prod","collector":"http://localhost:4318","logLevel":"error","routeChangeAllowedTime":"5000","headers":"","enableDiagnostic":"false","maxAttributeValueLength":"4095"},"apolloDevToolsEnabled":false,"quiltLazyLoadThreshold":"3"},"isFallback":false,"isExperimentalCompile":false,"dynamicIds":["components_customComponent_CustomComponent","components_community_Navbar_NavbarWidget","components_community_Breadcrumb_BreadcrumbWidget","components_tags_TagsHeaderWidget","components_messages_MessageListForNodeByRecentActivityWidget","components_community_FooterWidget","components_tags_TagSubscriptionAction","components_community_FooterWidgetHelpLink","components_community_KhorosLogo","components_customComponent_CustomComponentContent_TemplateContent","shared_client_components_common_List_ListGroup","components_messages_MessageView","components_messages_MessageView_MessageViewInline"],"appGip":true,"scriptLoader":[]}